To see the other types of publications on this topic, follow the link: Statistical Data Interpretation.
Dissertations / Theses on the topic 'Statistical Data Interpretation'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 dissertations / theses for your research on the topic 'Statistical Data Interpretation.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.
1
Senan, Campos Oriol. "Statistical tools for classification, interpretation and prediction of biological data." Doctoral thesis, Universitat Rovira i Virgili, 2017. http://hdl.handle.net/10803/458361.
Full textAbstract:
Les tecnologies òmiques prometen una nova aproximació sistèmica a la biologia. Malgrat que ja coneixem
el genoma de moltes espècies, i una aproximació del nombre de proteïnes, no sabem quants metabòlits hi
ha en una mostra biológica, o en un organisme.
Ni tan sols amb la tècnica més efectiva per a detectar el major nombre de metabòlits tenim alguna estimació,
sovint només s'aconsegueixen identificar 20-30 metabolíts després d'un llarg treball manual.
Em desenvolupat un algorisme, CliqueMS, que soluciona un dels problemes més grans per a anotar un experiment
de metabolòmica, la correcta identificació de senyals múltiples per un mateix metabolit.
En altres treballs de la tesi, explorem com combinar diferents dades òmiques en un cas pràctic, l'estudi dels
efectes terapèutics de l'hibiscus analitzant la resposta metabòlica i l'expressió génica posterior a la seva ingestió.
També abordem un procés complex biológic com la trombosi, per a estudiar el rol de diferents models en la
interpretació i la predicció de l'acumulació de plaquetes.
Mitjançant aquests models som capaços de predir l'acumulació de plaquetes en una nova mostra, demostrant
una possible aplicació clinica en un cas hipotètic cas on estimem un model a partir d'una sèrie de pacients per a
aplicar-ho a predir una variable difícil de mesurar (com l'acumulació de plaquetes) en nou pacient.
predir una variable difícil de mesurar (com l'acumulació de plaquetes) en nou pacient.de muchas especies, y un buen número aproximado de las proteïnas, pero no sabemos ni cuantos metabolitos hay en un organismo ni en una muestra biológica. Con la técnica más efectiva para detectar el mayor número de metabolitos posible solamente se identifican entre 20 y 30 metabolitos por muestra, después de un largo trabajo manual. Hemos desarrolado un algoritmo, CliqueMS, para solucionar uno de los impedimentos más importantes para anotar en su totalidad un experiemento de metabolòmica no dirigida, la correcta agrupación e identificación de las múltiple de señales de un mismo metabolito. En otros trabajos de la tesis exploramos como combinar diversos fuentes de datos ómicos. En un caso práctico, estudiamos el efecto terapéutico del hibisco a partir de su respuesta metabólica y transciptomica tras su ingestión. Tambien en otro trabajo abordamos un proceso biológico complejo como es la trombosis. Estudiamos como varia la interpretación y la predicción mediante unos modelos de la acumulación de plaquetas, el desencadenante de la trombosis. Mediante estos modelos somos capaces de predecir la acumulación de plaquetas en una nueva muestra, demostrando una posible aplicación clínica, en un hipotético caso donde ajustmos un modelo a partir de los datos de un grupo de pacientes, y lo aplicamos para predecir una variable muy difícil de medir
Omics technologies arise a new systemic approach towards biology. We already know the genome of many species, and an approximated number of proteins, but we do not know how many metabolites are present in an organism or in a biological sample. With the most suited technique for metabolite identification, usually only 20-30 metabolites are identified after hard manual work. To solve this problem, we have developed CliqueMS, that tackles one of the main bottlenecks for the annotation of metabolomic experiments, the correct grouping and annotation of the multiple signals produced by a metabolite. In another investigation of the thesis, we explore how to combine several sources of omics data. In a practical application we study the therapeutic effect of hibiscus, by analyzing the response in metabolism and in gene expression, after its ingestion. The last investigation included in this thesis tackles a complex biological process, thrombosis. We study how changes interpretation and prediction of platelet deposition by using different computational models. By this models we demonstrate that platelet deposition can be predicted by measuring platelet concentration, the vessel tissue and some other variables. This models can be used to predict variables that are very difficult to measure, as it is platelet deposition
2
Patrick, Ellis. "Statistical methods for the analysis and interpretation of RNA-Seq data." Thesis, The University of Sydney, 2013. http://hdl.handle.net/2123/10438.
Full textAbstract:
In the post-genomic era, sequencing technologies have become a vital tool in the global analysis of biological systems. RNA-Seq, the sequencing of messenger RNA, in particular has the potential to answer many diverse and interesting questions about the inner workings of cells. Despite the decreasing cost of sequencing data, the majority of RNA-Seq experiments are still suffering from low replication numbers. The statistical methodology for dealing with low replicate RNA-Seq experiments is still in its infancy and has room for further development. Incorporating additional information from publicly accessible databases may provide a plausible avenue to overcome the shortcomings of low replication. Not only could this additional information improve on the ability to find statistically significant signal but this signal should also be more biologically interpretable. This thesis is separated into three distinct statistical problems that arise when processing and analysing RNA-Seq data. Firstly, the use of experimental data to customise gene annotations is proposed. When customised annotations are used to summarise read counts, the corresponding measures of transcript abundance include more information than alternate summarisation approaches and offer improved concordance with qRT-PCR data. A moderation methodology that exploits external estimates of variation is then developed to address the issue of small sample differential expression analysis. This approach performs favourably against existing approaches when comparing gene rankings and sensitivity. With the aim of identifying groups of miRNA-mRNA regulatory relationships, a framework for integrating various databases of prior knowledge with small sample miRNA-Seq and mRNA-Seq data is then outlined. This framework appears to identify more signal than simpler approaches and also provides highly interpretable models of miRNA-mRNA regulation. To conclude, a small sample miRNA-Seq and mRNA-Seq experiment is presented that seeks to discover miRNA-mRNA regulatory relationships associated with loss of Notch2 function and its links to neurodegeneration. This experiment is used to illustrate the methodologies developed in this thesis.
3
Chamma, Ahmad. "Statistical interpretation of high-dimensional complex prediction models for biomedical data." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASG028.
Full textAbstract:
Les grands jeux de données de santé produits, qui représentent les caractéristiques de la population selon de multiples modalités, permettent de prédire et de comprendre les résultats individuels. À mesure que la collecte de données s'étend aux domaines scientifiques, tels que l'imagerie cérébrale, les variables sont liées par des dépendances complexes, éventuellement non linéaires, ainsi que par des degrés élevés de corrélation. Par conséquent, les modèles populaires tels que les techniques linéaires et à base d'arbres de décision ne sont plus efficaces dans ces contextes à haute dimension. De puissants algorithmes d'apprentissage automatique non linéaires, tels que les forêts aléatoires et les réseaux de neurones profonds, sont devenus des outils importants pour caractériser les différences interindividuelles et prédire les résultats biomédicaux, tels que l'âge du cerveau. Il est essentiel d'expliquer le processus de décision des algorithmes d'apprentissage automatique, à la fois pour améliorer les performances d'un modèle et pour faciliter la compréhension. Cet objectif peut être atteint en évaluant l'importance des variables. Traditionnellement, les scientifiques ont privilégié des modèles simples et transparents tels que la régression linéaire, où l'importance des variables peut être facilement mesurée par des coefficients. Cependant, avec l'utilisation de méthodes plus avancées, l'accès direct à la structure interne est devenu limité et/ou ininterprétable d'un point de vue humain. C'est pourquoi ces méthodes sont souvent appelées méthodes "boîte noire". Les approches standard basées sur l'importance par permutation (PI) évaluent l'importance d'une variable en mesurant la diminution du score de perte lorsque la variable d'intérêt est remplacée par sa version permutée. Bien que ces approches augmentent la transparence des modèles de boîte noire et offrent une validité statistique, elles peuvent produire des évaluations d'importance peu fiables lorsque les variables sont corrélées.L'objectif de ce travail est de surmonter les limites de l'importance de permutation standard en intégrant des schémas conditionnels. Par conséquent, nous développons deux cadres génériques, l'importance par permutation conditionnelle (CPI) et l'importance par permutation conditionnelle basée sur des blocs (BCPI), qui prennent efficacement en compte les corrélations entre les variables et surmontent les limites de l'importance par permutation. Nous présentons deux nouveaux algorithmes conçus pour traiter les situations où les variables sont corrélées, qu'elles soient groupées ou non. Nos résultats théoriques et empiriques montrent que CPI fournit des méthodes efficaces sur le plan du calcul et solides sur le plan théorique pour l'évaluation des variables individuelles. Le cadre de CPI garantit le contrôle des erreurs de type-I et produit une sélection concise des variables significatives dans les grands ensembles de données.BCPI présente une stratégie de gestion des variables individuelles et groupées. Elle intègre le regroupement statistique et utilise la connaissance préalable du regroupement pour adapter l'architecture du réseau DNN à l'aide de techniques d'empilement. Ce cadre est robuste et maintient le contrôle de l'erreur de type-I même dans des scénarios avec des groupes de variables fortement corrélées. Il donne de bons résultats sur divers points de référence. Les évaluations empiriques de nos méthodes sur plusieurs jeux de données biomédicales ont montré une bonne validité apparente. Nous avons également appliqué ces méthodes à des données cérébrales multimodales ainsi qu'à des données sociodémographiques, ouvrant la voie à de nouvelles découvertes et avancées dans les domaines ciblés. Les cadres CPI et BCPI sont proposés en remplacement des méthodes conventionnelles basées sur la permutation. Ils améliorent l'interprétabilité de l'estimation de l'importance des variables pour les modèles d'apprentissage à haute performanceModern large health datasets represent population characteristics in multiple modalities, including brain imaging and socio-demographic data. These large cohorts make it possible to predict and understand individual outcomes, leading to promising results in the epidemiological context of forecasting/predicting the occurrence of diseases, health outcomes, or other events of interest. As data collection expands into different scientific domains, such as brain imaging and genomic analysis, variables are related by complex, possibly non-linear dependencies, along with high degrees of correlation. As a result, popular models such as linear and tree-based techniques are no longer effective in such high-dimensional settings. Powerful non-linear machine learning algorithms, such as Random Forests (RFs) and Deep Neural Networks (DNNs), have become important tools for characterizing inter-individual differences and predicting biomedical outcomes, such as brain age. Explaining the decision process of machine learning algorithms is crucial both to improve the performance of a model and to aid human understanding. This can be achieved by assessing the importance of variables. Traditionally, scientists have favored simple, transparent models such as linear regression, where the importance of variables can be easily measured by coefficients. However, with the use of more advanced methods, direct access to the internal structure has become limited and/or uninterpretable from a human perspective. As a result, these methods are often referred to as "black box" methods. Standard approaches based on Permutation Importance (PI) assess the importance of a variable by measuring the decrease in the loss score when the variable of interest is replaced by its permuted version. While these approaches increase the transparency of black box models and provide statistical validity, they can produce unreliable importance assessments when variables are correlated.The goal of this work is to overcome the limitations of standard permutation importance by integrating conditional schemes. Therefore, we investigate two model-agnostic frameworks, Conditional Permutation Importance (CPI) and Block-Based Conditional Permutation Importance (BCPI), which effectively account for correlations between covariates and overcome the limitations of PI. We present two new algorithms designed to handle situations with correlated variables, whether grouped or ungrouped. Our theoretical and empirical results show that CPI provides computationally efficient and theoretically sound methods for evaluating individual variables. The CPI framework guarantees type-I error control and produces a concise selection of significant variables in large datasets.BCPI presents a strategy for managing both individual and grouped variables. It integrates statistical clustering and uses prior knowledge of grouping to adapt the DNN architecture using stacking techniques. This framework is robust and maintains type-I error control even in scenarios with highly correlated groups of variables. It performs well on various benchmarks. Empirical evaluations of our methods on several biomedical datasets showed good face validity. Our methods have also been applied to multimodal brain data in addition to socio-demographics, paving the way for new discoveries and advances in the targeted areas. The CPI and BCPI frameworks are proposed as replacements for conventional permutation-based methods. They provide improved interpretability and reliability in estimating variable importance for high-performance machine learning models
4
Li, Bin. "Statistical learning and predictive modeling in data mining." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1155058111.
Full text
5
Zhang, Lu. "Analysis and Interpretation of Complex Lipidomic Data Using Bioinformatic Approaches." Thesis, Boston College, 2012. http://hdl.handle.net/2345/2656.
Full textAbstract:
Thesis advisor: Jeffrey H. ChuangThe field of lipidomics has rapidly progressed since its inception only a decade ago. Technological revolutions in mass spectrometry, chromatography, and computational biology now enables high-throughput high-accuracy quantification of the cellular lipidome. One significant improvement of these technologies is that lipids can now be identified and quantified as individual molecular species. Lipidomics provides an additional layer of information to genomics and proteomics and opens a new opportunity for furthering our understanding of cellular signaling networks and physiology, which have broad therapeutic values. As with other 'omics sciences, these new technologies are producing vast amounts of lipidomic data, which require sophisticated statistical and computational approaches for analysis and interpretation. However, computational tools for utilizing such data are sparse. The complexity of lipid metabolic systems and the fact that lipid enzymes remain poorly understood also present challenges to computational lipidomics. The focus of my dissertation has been the development of novel computational methods for systematic study of lipid metabolism in cellular function and human diseases using lipidomic data. In this dissertation, I first present a mathematical model describing cardiolipin molecular species distribution in steady state and its relationship with fatty acid chain compositions. Knowledge of this relationship facilitates determination of isomeric species for complex lipids, providing more detailed information beyond current limits of mass spectrometry technology. I also correlate lipid species profiles with diseases and predict potential therapeutics. Second, I present statistical studies of mechanisms influencing phosphatidylcholine and phosphatidylethanolamine molecular architectures, respectively. I describe a statistical approach to examine dependence of sn1 and sn2 acyl chain regulatory mechanisms. Third, I describe a novel network inference approach and illustrate a dynamic model of ethanolamine glycerophospholipid acyl chain remodeling. The model is the first that accurately and robustly describes lipid species changes in pulse-chase experiments. A key outcome is that the deacylation and reacylation rates of individual acyl chains can be determined, and the resulting rates explain the well-known prevalence of sn1 saturated chains and sn2 unsaturated chains. Lastly, I summarize and remark on future studies for lipidomics
Thesis (PhD) — Boston College, 2012
Submitted to: Boston College. Graduate School of Arts and Sciences
Discipline: Biology
6
Knox, Kathryn M. G. "Statistical interpretation of a veterinary hospital database : from data to decision support." Thesis, University of Glasgow, 1998. http://theses.gla.ac.uk/6735/.
Full textAbstract:
Research was undertaken to investigate whether data maintained within a veterinary hospital database could be exploited such that important medical information could be realised. At the University of Glasgow Veterinary School (GUVS), a computerised hospital database system, which had maintained biochemistry and pathology data for a number of years, was upgraded and expanded to enable recording of signalment, historical and clinical data for referral cases. Following familiarisation with the computerised database, clinical diagnosis and biochemistry data pertaining to 740 equine cases were extracted. Graphical presentation of the results obtained for each of 18 biochemistry parameters investigated indicated that the distributions of the data were variable. This had important implications with respect to the statistical techniques which were subsequently applied, and also to the appropriateness of the reference range method currently used for interpretation of clinical biochemistry data. A percentile analysis was performed for each of the biochemistry parameters; data were grouped into ten appropriate percentile band intervals; and the corresponding diagnoses tabulated and ranked according to frequency. Adoption of a Bayesian method enabled determination of how many times more likely a diagnosis was than before the biochemistry parameter concentration had been ascertained. The likelihood ratio was termed the "Biochemical Factor". Consequently, a measurement on a parameter, such as urea, could be classified on the percentile scale, and a diagnosis, such as hepatopathy, judged to be less or many times more likely, based on the numerical evaluation of the Biochemical Factor. One issue associated with the interrogation of the equine cases was that the diagnoses were clinical in origin, and, because they may have been made with the assistance of biochemistry data, this may have yielded biased results. Although this was considered unlikely to have affected the findings to a large extent, a database containing biochemistry and post mortem diagnosis data for cattle was also assessed.
7
Leek, Jeffrey Tullis. "Surrogate variable analysis /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9586.
Full text
8
Dinh, Phillip V. "Some methods for the analysis of skewed data /." Thesis, Connect to this title online; UW restricted, 2006. http://hdl.handle.net/1773/9546.
Full text
9
Sloan, Lauren Elizabeth. "Methods for analysis of missing data using simulated longitudinal data with a binary outcome." Oklahoma City : [s.n.], 2005.
Find full text
10
Mwewa, Chilufya. "Statistical interpretation of exotics monojet data in search of an invisibly decaying Higgs Boson." Master's thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/9216.
Full textAbstract:
Includes bibliographical references.Following the recent discovery of a Standard Model Higgs-like particle at the Large Hadron Collider, this study searches for the evidence of invisible decays of this particle. Assuming that this is the Standard Model Higgs boson, its decay to invisible particles is not expected to be measurable in the current data. However, it could have a large contribution from its decay to stable non-Standard Model particles such as the hypothetical dark matter particles. This study corresponds to 4.7 fb!1 of 7 TeV proton-proton collisions and 20.3 fb!1 of 8 TeV proton-proton collisions. At the time of thesis submission, the 8 TeV results were not unblinded by the ATLAS Collaboration, so toy-data are presented here to demonstrate the procedure. The performance of the statistical framework to be used in the combination of the 7 TeV data with the real 8 TeV data is assessed and is found to perform very well. The results are interpreted to set 95 confidence level limits on the branching ratio to invisible particles of the newly discovered Higgs-like particle at a mass of 125 GeV. Limits are also set on the production cross section ⇥ branching ratio of additional Higgs-like particles that decay invisibly in the mass range: 115 GeV to 300 GeV. In the combination of the 7 TeV data and 8 TeV toy-data, an expected (observed) upper limit of0.89 (0.59) is set on the branching ratio to invisible particles of a 125 GeV Higgs boson. In the mass range 115 to 300 GeV, no excess beyond the Standard Model expectation is observed.
11
Grey, Scott F. "How much compliance is enough? Examining the effect of different definitions of compliance on estimates of treatment efficacy in randomized controlled trials." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1363172687.
Full text
12
Knowlton, Nicholas Scott. "Robust estimation of inter-chip variability to improve microarray sample size calculations." Oklahoma City : [s.n.], 2005.
Find full text
13
Sawrie, David Franklin. "Preemptive power analysis for the consulting statistician novel applications of internal pilot design and information based monitoring systems /." Thesis, Birmingham, Ala. : University of Alabama at Birmingham, 2007. https://www.mhsl.uab.edu/dt/2009r/sawrie.pdf.
Full text
14
Gao, Dexiang. "Analysis of clustered longitudinal count data /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.
Find full textAbstract:
Thesis (Ph.D. in Analytic Health Sciences, Department of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.Typescript. Includes bibliographical references (leaves 75-77). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
15
Johnson, Laura Lee. "Incorporating death into the statistical analysis of categorical longitudinal health status data /." Thesis, Connect to this title online; UW restricted, 2002. http://hdl.handle.net/1773/9559.
Full text
16
Huang, Ying. "Evaluating the predictiveness of continuous biomarkers /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/9558.
Full text
17
Sands, Caroline Jane. "Statistical correlation based methods for enhanced interpretation of, and information recovery from, NMR metabolic data sets." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/7061.
Full textAbstract:
Owing to its ability to capture a systemic and temporal metabolic description of an organism’s response to a treatment, metabonomics is a well-established and valuable approach in elucidating the effects and mechanisms of a given perturbation. However, to optimise information recovery from the complex datasets generated, chemometric methods are essential. The work presented in this thesis focuses on the development of novel methods, and the use of existing methods in new applications to ease data interpretation and enhance information recovery from 1H Nuclear Magnetic Resonance (NMR) metabonomic datasets using correlation based methods. Although the methods here are largely applied to toxicological data, they could be equally valuable in the analysis of any metabonomic dataset, and indeed potentially to other ‘omics’ data presenting similar analytical challenges. The first two methodological approaches relate to novel extensions of Statistical Total Correlation Spectroscopy (STOCSY), a valuable tool in elucidation of both inter- and intra-metabolite spectral intensity correlations in NMR metabonomic datasets. In the first, STOCSY is utilised in STOCSY-editing, a method for the selective identification and downscaling of the peaks from unwanted metabolites such as those arising from xenobiotics. Structurally correlated peaks from drug metabolites are first identified using STOCSY, and the returned correlation information utilised to scale the spectra across these regions, producing a modified set of spectra in which drug metabolite contributions are reduced, endogenous peaks reconstructed and thus, analysis by pattern recognition methods without drug metabolite interferences facilitated. In the second, the STOCSY approach is extended in Iterative-STOCSY, where metabolic associations are followed over several rounds of STOCSY through calculation of correlation coefficients initially from a driver spectral peak of interest, and subsequently from all peaks identified as correlating above a set threshold to peaks picked in the previous round. The condensation of putatively structurally related peaks into single nodes, and representation of the otherwise complex network in a fully interactive plot of node-to-node connections and corresponding spectral data, allows the ready exploration of both inter- and intrametabolite relationships and a more directed approach to the identification of biomarkers of the studied perturbation. Finally various clustering methods are investigated with the aim of providing improved structural (intra-metabolite) versus non-structural (inter-metabolite) assignment. Thus, this thesis presents a framework for the enhanced identification, recovery and characterisation of inter- and intrametabolite relationships and how these are affected by metabonomic perturbation.
18
Forster, Jeri E. "Varying-coefficient models for longitudinal data : piecewise-continuous, flexible, mixed-effects models and methods for analyzing data with nonignorable dropout /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2006.
Find full textAbstract:
Thesis (Ph.D. in Biostatistics) -- University of Colorado at Denver and Health Sciences Center, 2006.Typescript. Includes bibliographical references (leaves 72-75). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
19
Saba, Laura M. "Latent pattern mixture models for binary outcomes /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.
Find full textAbstract:
Thesis (Ph.D. in Biostatistics) -- University of Colorado Denver, 2007.Typescript. Includes bibliographical references (leaves 70-71). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
20
Beebe, Claire Elizabeth. "A comparison of stratified and unstratified modeling for binary logistic regression in the presence of a simulated interaction." Oklahoma City : [s.n.], 2008.
Find full text
21
Fuchs, Peter [Verfasser]. "Analyzing Dyadic Sequence Data - Comparing Different Statistical Models with Respect to their Applicability and Interpretation / Peter Fuchs." Bielefeld : Universitätsbibliothek Bielefeld, 2019. http://d-nb.info/1179357698/34.
Full text
22
Hussin, Mahmud M. "Some studies of a graphical method in statistical data analysis : subjective judgments in the interpretation of boxplots." Thesis, Keele University, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290317.
Full text
23
Braun, Thomas Michael. "Optimal analysis of group randomized trials with permutation tests /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/9589.
Full text
24
Jaros, Mark J. "A joint model for longitudinal data and competing risks /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2008.
Find full textAbstract:
Thesis (Ph.D. in Biostatistics) -- University of Colorado Denver, 2008.Typescript. Includes bibliographical references (leaves 117-119). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
25
Schumacher, Fredrick Ray. "Relation between the selenoprotein gene, selenium and prostate cancer." Connect to text online, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1132766716.
Full textAbstract:
Thesis (Ph. D.)--Case Western Reserve University, 2006.[School of Medicine] Department of Epidemiology and Biostatistics. Includes bibliographical references. Available online via OhioLINK's ETD Center.
26
Jones, Tamekia L. "A statistical approach identifying and limiting the effect of influential observations in linear regression." Thesis, Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2009r/jones.pdf.
Full text
27
Wild, Robert Clinton. "A simulation analysis modeling dependence in closed population capture-recapture studies." Oklahoma City : [s.n.], 2008.
Find full text
28
Blatchford, Patrick Judson. "Monitoring bivariate endpoints in group sequential clinical trials /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.
Find full textAbstract:
Thesis (Ph.D. in Biostatistics) -- University of Colorado Denver, 2007.Typescript. Includes bibliographical references (leaves 104-106). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
29
Hu, Simin. "NEW METHODS FOR VARIABLE SELECTION WITH APPLICATIONS TO SURVIVAL ANALYSIS AND STATISTICAL REDUNDANCY ANALYSIS USING GENE EXPRESSION DATA." Connect to text online, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1164873326.
Full textAbstract:
Thesis (Ph. D.)--Case Western Reserve University, 2006.[School of Medicine] Department of Epidemiology and Biostatistics. Includes bibliographical references. Available online via OhioLINK's ETD Center.
30
Crisci, Jessica L. "On Identifying Signatures of Positive Selection in Human Populations: A Dissertation." eScholarship@UMMS, 2013. https://escholarship.umassmed.edu/gsbs_diss/664.
Full textAbstract:
As sequencing technology continues to produce better quality genomes at decreasing costs, there has been a recent surge in the variety of data that we are now able to analyze. This is particularly true with regards to our understanding of the human genome—where the last decade has seen data advances in primate epigenomics, ancient hominid genomics, and a proliferation of human polymorphism data from multiple populations. In order to utilize such data however, it has become critical to develop increasingly sophisticated tools spanning both bioinformatics and statistical inference. In population genetics particularly, new statistical approaches for analyzing population data are constantly being developed—unfortunately, often without proper model testing and evaluation of type-I and type-II error. Because the common Wright-Fisher assumptions underlying such models are generally violated in natural populations, this statistical testing is critical. Thus, my dissertation has two distinct but related themes: 1) evaluating methods of statistical inference in population genetics, and 2) utilizing these methods to analyze the evolutionary history of humans and our closest relatives. The resulting collection of work has not only provided important biological insights (including some of the first strong evidence of selection on human-specific epigenetic modifications (Shulha, Crisci, Reshetov, Tushir et al. 2012, PLoS Bio), and a characterization of human-specific genetic changes distinguishing modern humans from Neanderthals (Crisci et al. 2011, GBE)), but also important insights in to the performance of population genetic methodologies which will motivate the future development of improved approaches for statistical inference (Crisci et al, in review).
31
Crisci, Jessica L. "On Identifying Signatures of Positive Selection in Human Populations: A Dissertation." eScholarship@UMMS, 2006. http://escholarship.umassmed.edu/gsbs_diss/664.
Full textAbstract:
As sequencing technology continues to produce better quality genomes at decreasing costs, there has been a recent surge in the variety of data that we are now able to analyze. This is particularly true with regards to our understanding of the human genome—where the last decade has seen data advances in primate epigenomics, ancient hominid genomics, and a proliferation of human polymorphism data from multiple populations. In order to utilize such data however, it has become critical to develop increasingly sophisticated tools spanning both bioinformatics and statistical inference. In population genetics particularly, new statistical approaches for analyzing population data are constantly being developed—unfortunately, often without proper model testing and evaluation of type-I and type-II error. Because the common Wright-Fisher assumptions underlying such models are generally violated in natural populations, this statistical testing is critical. Thus, my dissertation has two distinct but related themes: 1) evaluating methods of statistical inference in population genetics, and 2) utilizing these methods to analyze the evolutionary history of humans and our closest relatives. The resulting collection of work has not only provided important biological insights (including some of the first strong evidence of selection on human-specific epigenetic modifications (Shulha, Crisci, Reshetov, Tushir et al. 2012, PLoS Bio), and a characterization of human-specific genetic changes distinguishing modern humans from Neanderthals (Crisci et al. 2011, GBE)), but also important insights in to the performance of population genetic methodologies which will motivate the future development of improved approaches for statistical inference (Crisci et al, in review).
32
Wagner, Brandie D. "Permutation based microarray gene selection methods with covarience adjustment applicable to complex diseases /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.
Find full textAbstract:
Thesis (Ph.D. in Analytic Health Sciences) -- University of Colorado Denver, 2007.Typescript. Includes bibliographical references (leaves 57-60). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;
33
Muthig, Michael [Verfasser], Michael [Akademischer Betreuer] Gradzielski, and Julian [Akademischer Betreuer] Oberdisse. "Complex SANS/SAXS data evaluation, simulation and interpretation with regard to statistical inference / Michael Muthig. Gutachter: Michael Gradzielski ; Julian Oberdisse. Betreuer: Michael Gradzielski." Berlin : Technische Universität Berlin, 2015. http://d-nb.info/1072463431/34.
Full text
34
Bruce, Stephanie L. "Models for serially correlated, over or underdispersed, unequally spaced longitudinal count data with applications to asthma inhaler use /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.
Find full textAbstract:
Thesis (Ph.D. in Analytic Health Sciences, Dept. of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.Typescript. Includes bibliographical references (leaves 57-59). Free to UCD Anschutz Medical Campus. Online version available via ProQuest Digital Dissertations;
35
Istook, Diana Lee. "Differential gene expression between patients with acute lymphocytic leukemia and patients with acute myeloid leukemia : the use of analysis of variance models in microarray data analysis /." Oklahoma City : [s.n.], 2004.
Find full text
36
Han, Maria Ann. "The Impact of Medication Use and Medical Morbidity on Symptom Burden in Older Patients." Yale University, 2010. http://ymtdl.med.yale.edu/theses/available/etd-03052010-115520/.
Full textAbstract:
Older patients suffer from a greater number of medical morbidities, consume a greater number of prescribed medications, and report lower levels of quality of life than their younger counterparts. The objectives of this study were to determine whether there is 1) an association between medical morbidity and symptom burden or 2) an association between medication use and symptom burden. This was a cross-sectional study of the symptoms, medical morbidities, and medications reported by 159 community-dwelling male patients 65 years of age or older. Correlations were drawn using linear regression analysis. On average, the participants in this study suffered from 2.56 +/- 1.36 medical morbidities, were prescribed 7.91+/- 2.83 medications, and reported 3.17 symptoms at any severity. The results of this study demonstrated a direct correlation between number of medical morbidities and symptom burden (R2 = 0.94). Our study did not find a significant correlation between medication use and symptom burden (R2 = 0.20). The findings of this study suggest that the number of medical morbidities has a stronger negative impact on symptom burden than the number of medications used. Thus, when attempting to improve quality of life for older patients, physicians should focus on the treatment and alleviations of symptoms associated with medical morbidity.
37
Gao, Feng. "Complex medical event detection using temporal constraint reasoning." Thesis, University of Aberdeen, 2010. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=153271.
Full textAbstract:
The Neonatal Intensive Care Unit (NICU) is a hospital ward specializing in looking after premature and ill newborn babies. Working in such a busy and complex environment is not easy and sophisticated equipment is used to help the daily work of the medical staff . Computers are used to analyse the large amount of monitored data and extract hidden information, e.g. to detect interesting events. Unfortunately, one group of important events lacks features that are recognizable by computers. This group includes the actions taken by the medical sta , for example two actions related to the respiratory system: inserting an endotracheal tube into a baby’s trachea (ET Intubating) or sucking out the tube (ET Suctioning). These events are very important building blocks for other computer applications aimed at helping the sta . In this research, a strategy for detecting these medical actions based on contextual knowledge is proposed. This contextual knowledge specifies what other events normally occur with each target event and how they are temporally related to each other. The idea behind this strategy is that all medical actions are taken for di erent purposes hence may have di erent procedures (contextual knowledge) for performing them. This contextual knowledge is modelled using a point based framework with special attention given to various types of uncertainty. Event detection consists in searching for consistent matching between a model based on the contextual knowledge and the observed event instances - a Temporal Constraint Satisfaction Problem (TCSP). The strategy is evaluated by detecting ET Intubating and ET Suctioning events, using a specially collected NICU monitoring dataset. The results of this evaluation are encouraging and show that the strategy is capable of detecting complex events in an NICU.
38
Fottrell, Edward F. "Dying to count : mortality surveillance methods in resource-poor settings." Doctoral thesis, Umeå : Univ, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1544.
Full text
39
Ribeiro, Manoel Carlos Sampaio de Almeida. "Análise multinível da cobertura vacinal no Município de São Paulo." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/5/5137/tde-09102014-110929/.
Full textAbstract:
Vigilância Epidemiológica, é a forma através do qual o SUS busca produzir impacto em termos de controle, eliminação e até erradicação de um conjunto definido de doenças imunopreveníveis. O PNI tem conseguindo bons resultados em termos de cobertura vacinais e controle de importantes doenças, embora ainda com importantes desigualdades regionais e locais. Este estudo busca conhecer os fatores que determinam a efetividade deste programa no município de São Paulo a partir de uma análise mutinível. MÉTODO: Em 2002 o Depto. de Medicina Social da FCMSCSP realizou o Inquérito de Cobertura Vacinal no primeiro ano de vida para a coorte de nascidos entre 1º de novembro de 1999 e 31 de outubro de 2000 residentes no município de São Paulo. Este inquérito domiciliar se baseou no processo de amostragem por conglomerado preconizado pela OPAS. Em cada um dos 41 Distritos de Saúde (DS) foi calculada uma amostra de 210 crianças, num total de 8610 crianças. A importância de variáveis grupais e individuais em relação a cobertura vacinal para esquema completo em crianças com um ano de idade e a participação no Dia Nacional de Vacinação (25/08/2001) foi investigada através de um modelo multinível logístico. Foram estabelecidos nesta análise três níveis: individual, conglomerado, compostos pelos setores censitários e decorrentes do processo de análise e o DS. O modelo multinível foi construído através do software MLWin 2.0. RESULTADOS: O modelo multinível para cobertura com esquema completo em crianças com um ano de idade evidenciou um efeito do DS de 0,15 com um p <0,01; um efeito do conglomerado de 0,07 e p=0,051.A inclusão das variáveis individuais quase não alterou os efeitos aleatórios dos dois níveis. No modelo final as seguintes variáveis mostraram-se associadas ao desfecho: uso de serviço privado OR de 0,64 (IC95%0,50-0,82), pessoas por cômodo um OR de 0,93 (IC95%;0,88-0,98), mãe trabalhar fora e escolaridade da mãe estiveram associadas ao desfecho e apresentaram uma interação.Os dados sugerem uma tendência de aumento da cobertura vacinal conforme aumenta a escolaridade da mãe até a categoria de 9 a 11 anos, voltando a ser menor em crianças com mães um nível de estudo maior. Em relação a participação em campanha de vacinação, o nível do DS apresentou um efeito de 0,32, e nível do conglomerado de 0,18 (p<0,001). Em relação as variáveis individuais, uso de serviço privado para vacinar apresentou um OR de 0,26 (IC95%: 0,21-0,36), mãe trabalha fora de casa um OR de 0,82 (IC95%:0,73-0,92) A escolaridade da mãe, usando a faixa de 9 a 11 anos de escolaridade da mãe por referência, apresentou até a terceira série OR de 0,97 (IC95%: 0,76-1,23), de 4 a 8 anos um OR de 0,86 (IC95%:0,75-0,98) e mais 12 anos de estudo um OR de 0,54 (IC95%:0,44-0,66). A participação em campanha foi maior conglomerados com menor renda média do chefe e no DS com maior proporção de pobres. CONCLUSÕES: Existem diferenças em relação à cobertura vacinal no município de São Paulo que não são totalmente explicadas pelas características individuais e familiares. O DS de moradia destas famílias possui um efeito de contexto sobre a cobertura vacinal. A participação em campanhas de vacinação se revela uma importante estratégia para o acesso dos segmentos menos favorecidos às vacinas. É necessário também aprofundar o conhecimento sobre a cobertura vacinal nos segmentos mais abastados do municípioINTRODUCTION: In Brazil, the National Immunization Program (PNI), a branch of the National Surveillance System, is the standard approach of the Brazilian Unified Health System to control, eliminate and even eradicate a set of vaccine-preventable diseases. The PNI has attained good results in terms of vaccine coverage and controlling important diseases, although local and regional inequalities persist. This study aimed to identify which factors were influencing the effectiveness of immunization program in São Paulo City, using multilevel analysis. METHODS: In 2002 the Social Medicine Department of Santa Casa School of Medical Sciences (FCMSC) carried out a vaccine coverage survey, among residents of São Paulo City, addressing the vaccines recommended for the first year of life, among children born between November 1 of 1999 and October 31 of 2000. This household survey was done using the cluster sample technique advocated by the PAHO. In each one of the 41 Health Districts (DS) a sample of 210 infants, in a gross one of 8610, was obtained. The role of group and individuals variable levels in the vaccine coverage for the complete schedule among infants of one year of age and the participation in the National Vaccination Day (25/08/2001) were investigated through a logistic multilevel model. The analysis was performed including three levels: individual, cluster and health districts (DS). The cluster was based on the census tracts, defined by the sampling procedures. The multilevel model was performed using MLWin 2.0. software. RESULTS: The multilevel model for complete coverage with the recommended vaccines for the age group (children aged up to one year), identified at the health district (DS) an effect of 0,15 (p-value <0,01) and at the cluster level an effect of 0,07 (p=0,051). Adding individual level variables did not change the random effects of the two other levels. The final model included the following variables associated to the outcome: use of private service , (OR= 0,64, 95%CI: 0,50-0,82), number of persons by room (agglomerate), (OR= 0,93, 95%CI: 0,88-0,98). The employment status of the mother and mother\'s level of education, were both associated to the outcome and presented an interaction. Our data suggests the immunization uptake increases as the mother\'s years of education increases up to 9 to 11 years, decreasing among children whose mothers have greater level than 11 years of schooling. Regarding participation in vaccination campaign, at the DS level, the effect was 0,32, and at the cluster level the effect was 0,18 (p<0,001). At the individual level, the following characteristics were associated to the outcome: use of private clinic for vaccination (OR=0,26, 95% CI: 0,21-0,36), a working mother (OR=0,82, 95% CI:0,73-0,92). To examine the effect of mother\'s education, we used 9 to 11 years of education as the reference category. For children whose mothers had up to 3 years of education the OR was 0,97 (95% CI: 0,76-1,23); from 4 to 8 years of education the OR was 0,86 (95% CI:0,75-0,98) and for more than 12 years of study an OR of 0,54 (95% CI:0,44-0,66). The participation in campaign was bigger in clusters with lower head of household income, and bigger proportion of poor population. CONCLUSIONS: There are differences in the immunization uptake in São Paulo City that cannot be fully explained by the family and individual characteristics. The Health District, a geographic area where the household is located, poses a context effect on the vaccine coverage. Vaccine campaigns have an important role in increasing the access to vaccines for the poorest population. It is necessary further studies to a better understanding of the vaccine coverage in the wealthier segments of the town
40
Li, Qing. "Interim monitoring efficacy, safety and futility in phase III clinical trials." Thesis, Birmingham, Ala. : University of Alabama at Birmingham, 2008. https://www.mhsl.uab.edu/dt/2008p/li.pdf.
Full text
41
Neme, Rosa Maria. ""Avaliação do perfil epidemiológico e clínico de portadoras de endometriose pélvica e identificação dos principais fatores de risco relacionados à doença obtidos através de questionário interativo"." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/5/5139/tde-12042005-181432/.
Full textAbstract:
A endometriose representa uma das doenças mais prevalentes em ginecologia, e afeta cerca de 10 a 15% das mulheres em idade reprodutiva. Apesar do grande aumento da ocorrência desta doença, pouco se sabe sobre sua epidemiologia, principalmente devido à dificuldade metodológica por tratar-se de patologia de definição e etiologia desconhecidas. A prevalência estimada varia de 4% entre mulheres assintomáticas a cerca de 50% entre adolescentes com dismenorréia incapacitante. Fatores de risco pessoais foram descritos, como idade, estado sócio-econômico, estado civil, fatores menstruais, como duração e intervalo dos ciclos e idade da menarca. Sintomas como dismenorréia, dor acíclica, dispareunia de profundidade, alterações urinárias e intestinais cíclicas e infertilidade, também são associados à doença. O objetivo do presente estudo foi determinar uma forma de predizer o diagnóstico cirúrgico baseado no perfil epidemiológico e sintomas da endometriose, através da utilização de um programa interativo para este cálculo. Para tal, analisou-se mulheres com diagnóstico histológico da doença e pacientes sem diagnóstico, pertencentes ao Ambulatório de Ginecologia Preventiva do HC-FMUSP (grupo controle), analisadas através deste programa interativo, constituindo amostra de 1872 pacientes estudadas. A avaliação estatística foi realizada pelos testes do qui-quadrado, t-Student e regressão logística multifatorial. Encontrou-se como fatores de risco significativos a idade, raça, grau de instrução, estado civil, intervalo do ciclo menstrual, presença de dismenorréia, alterações urinárias cíclicas, tipo de infertilidade, além de sintomas mais específicos como disúria, proctorragia e diarréia, dados que foram aplicados através do programa informatizado. Concluiu-se que tal modelo apresenta grande valor para a análise da razão de chances de ocorrência de endometriose na população geral. Análises prospectivas tornam-se imperativas a fim de testarmos tal modelo preditivo para estabelecermos parâmetros que conduziriam ou não à realização de um procedimento invasivo para o diagnóstico da doença.Advances in understanding the epidemiology of endometriosis have lagged behind other diseases. To determine whether the surgical diagnosis of endometriosis can be predicted using noninvasive tools as epidemiological profile, medical history and symptoms related to the disease, were analyzed women with histological diagnosis of endometriosis and patients without diagnosis, analyzed through an interactive program, constituting a sample of 1872 studied patients. We could conclude that such model presents big value for the analysis of odds ratio to endometriosis in general population. Prospective analysis become imperative in order to create a predictive model to establish parameters that could suggest a surgical procedure.
42
Sartes, Laisa Marcorela Andreoli [UNIFESP]. "Propriedades Psicométricas da versão brasileira do Addiction Severity Index 6 (ASI 6): Uma abordagem pela Teoria de Resposta ao Item." Universidade Federal de São Paulo (UNIFESP), 2011. http://repositorio.unifesp.br/handle/11600/9989.
Full textAbstract:
Made available in DSpace on 2015-07-22T20:50:40Z (GMT). No. of bitstreams: 0
Previous issue date: 2011-06-30Embora amplamente utilizado em vários países para planejamento de tratamento de pessoas com problemas decorrentes do uso abusivo de substâncias psicotrópicas, a versão em português do instrumento Addiction Severity Index (Escala de Gravidade de Dependência - 6ª. edição - ASI 6), ainda não havia sido avaliada quanto a algumas propriedades psicométricas. Este estudo transversal, que fez parte de um projeto multicêntrico internacional, teve por objetivo avaliar as propriedades psicométricas das sete áreas da versão brasileira do ASI 6 utilizando modelos da Teoria de Resposta ao Item (TRI) e com base nesta análise, selecionar os melhores itens, visando propor uma versão reduzida do ASI 6. O ASI 6 foi aplicado a 740 pacientes em tratamento especializado para dependência de álcool e/ou outras drogas, localizados em quatro cidades brasileiras: Porto Alegre, São Paulo, Rio de Janeiro e Salvador. Com os dados colhidos, foram realizadas análises fatoriais (AFs) para avaliar a existência de unidimensionalidade da área e, sendo esta confirmada, aplicados dois modelos paramétricos da Teoria de Resposta ao Item (TRI). Cada item foi avaliado em relação a dois parâmetros: a) sua capacidade de discriminação de pessoas quanto à intensidade do traço latente (gravidade de problemas em cada área avaliada) e b) dificuldade do item para gerar respostas afirmativas. Com base nestes parâmetros foi estudada, em cada área, a distribuição dos itens e das pessoas numa escala dos diferentes níveis de gravidade do traço latente. As características das pessoas que se encontram em cada nível de gravidade foram descritas considerando os itens que os compõem. Segundo as análises baseadas na TRI, com exceção da área “Emprego/Sustento”, todas as outras seis áreas apresentaram boas propriedades psicométricas. Cerca de um terço dos itens originais apresentou índices adequados de discriminação e dificuldade. Desta forma, para compor uma versão reduzida do ASI, foram selecionados 96 dos 344 itens (incluindo aqui os subitens dos 252 itens originais) pela eliminação dos itens pouco discriminativos ou de extrema dificuldade para gerar respostas afirmativas. No caso da área “Emprego/Sustento” a seleção de itens foi baseada na AF. A estrutura dos construtos de cada uma das sete áreas do ASI 6 foi avaliada com base na associação da interpretação das análises baseadas na TRI e das AFs. Tal análise indicou que cada área pode ser considerada unidimensional, a partir de um subconjunto de itens, por possuir um construto principal identificável. Uma redução significativa do ASI 6, construída com base nos itens selecionados, poderá ser útil tanto em pesquisa clínica, como no planejamento de tratamento de pessoas com problemas decorrentes do uso abusivo de substâncias psicotrópicas, reduzindo o tempo necessário para sua aplicação, sem que haja perda das principais informações por ele fornecidas. Palavras chave: Entrevista Psiquiátrica Padronizada; Psicometria; Transtornos Relacionados ao Uso de Substâncias; Estudos de Validação; Interpretação Estatística dos Dados.
TEDE
BV UNIFESP: Teses e dissertações
43
Katarina, Gvozdenović. "Magnetnorezonantna dijagnostika akutnog pankreatitisa." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2017. https://www.cris.uns.ac.rs/record.jsf?recordId=104877&source=NDLTD&language=en.
Full textAbstract:
Akutni pankreatitis predstavlja zbirni pojam dinamičkih, lokalnih i sistemskih patofizioloških procesa nastalih iznenadnim prodorom aktivnih litičkih pankreasnih enzima u žlezdani parenhim. Cilj istraživanja je da se Utvrditi senzitivnost difuzione sekvence magnetne rezonance (DWI) radi utvrđivanja morfoloških promena parenhima kod akutnog pankreatitisa. Poređenje difuzione mape i difuzionog koeficijenta kod pacijenata sa akutnim pankreatitisom i kod pacijenata sa morfološki urednim parenhimom pankreasa na magnetnoj rezonanci. Utvrditi da li postoje statistički značajne razlike difuzionog koeficijenta kod pacijenata sa akutnim pankreatitisom u odnosu na pol. Utvrditi da li postoje statistički značajne razlike difuzionog koeficijenta kod pacijenata sa akutnim pankreatitisom u odnosu na godine. Odrediti prelomnu tačku difuzionog koeficijenta kod pacijenata sa akutnim pankreatitisom. Studija je bila prospektivnog karaktera i obuhvatilo je 30 ispitanika sa morfološki urednim parenhimom pankreasa i 30 sa dijagnozom akutnog pankreatitisa unutar 72 sata od početka simptoma. Svi pacijenti su pregledani magnetnom rezonancom u Centru za radiologiju, Kliničkog Centra Vojvodine. Rezultati ukazuju da postoje razlike difuzionog koeficijenta kod pacijenata sa akutnim pankreatitisom i kontrolne grupe. Takođe smo dokazali da difuzioni koeficijent zavisi od pola i starosti i utvrdili smo prelomnu tačku difuzije za rano dijagnostikovanje akutnog pankreatitisa.Acute pancreatitis is defined as cumulative term of dynamic local and general pathophysiological processes caused by sudden penetration of active lithic pancreatic enzymes in the glandular parenchyma. Goal of this research is to note the changes (sensitivity) in values of diffusion weighted images (DWI) in acute pancreatitis and to determine morphological changes in glandular parenchyma of pancreas. Comparation of DWI between patients with acute pancreatitis and patients with normal pancreatic parenchyma based on magnetic resonance (MRI). We also want to determine whether there were statistically significant differences of DWI in patients with acute pancreatitis in relation to sex and age. One of our goals also was to determine breakpoint of DWI as a sure sign of acute pancreatitis. This was prospective study and included 30 patients with morphologically healthy parenchyma of the pancreas (control group) and 30 with the diagnosis of acute pancreatitis – in first 72 hours of the onset of symptoms. All patients were examined on MRI in department of Radiology of Clinical Center of Vojvodina. Our results indicate that was a big difference of DWI between patients with acute pancreatitis and control group. We prove that DWI depends on the sex and age. 1,77x10-6mm/s2 was breakpoint which indicates acute pancreatitis.
44
Bezerra, Valdi Camarcio. ""Estudo comparativo da função erétil em pacientes portadores da forma digestiva da Doença de Chagas"." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/5/5154/tde-17042006-145922/.
Full textAbstract:
O objetivo deste estudo foi correlacionar as alterações causadas pela doença de Chagas no sistema nervoso autônomo e a possibilidade destas alterações provocarem disfunção erétil. Foram incluídos 60 pacientes, do sexo masculino, entre 40 e 70 anos, sendo 30 com a forma digestiva da doença de Chagas e 30 como grupo controle negativos para tripanossomíase; foram utilizados o questionário auto-aplicável do Índice Internacional de Função Erétil (IIFE) e o algoritmo de pontuação para análise e interpretação do questionário.Os resultados obtidos neste estudo comprovaram que a doença de Chagas não afetou a função erétil dos pacientes, que não há diferença significativa se a lesão é do esôfago ou de esôfago e cólon e que a doença de Chagas não deve ser considerada um fator de risco para a disfunção erétilThe objective of this study was to correlate the alterations caused by the Chagas'disease in the autonomous nervous system and the possibility of these alterations they provoke erectile dysfunction. Sixty men - between 40 and 70 years-old - were selected for the stydy: 30 men with the digestive form of the Chagas'disease and 30 of them had negative serologic findings for T. Cruzi. It was used the questionnaire of the International Index of Erectile Function (IIEF) and the punctuation algorithm for interpretation of the questionnaire. The results this study they proved that the Chagas'disease didn't affect the patients' erectile function, that there is not significant difference if the lesion is of esophagus or esophagus and colon and Chagas'disease should not be considered a risk factor for the erectile dysfunction
45
Vives, Mestres Marina. "Gràfic de control T2 de Hotelling per a dades composicionals." Doctoral thesis, Universitat de Girona, 2014. http://hdl.handle.net/10803/284756.
Full textAbstract:
Compositional data are defined as vectors of components that represent parts of a whole and contain relative information (e.g. %, ppm, mg/l...). CoDa are widely found in chemical, pharmaceutical and food industries among others. This thesis proposes a control chart based on the T2 statistic to monitor processes in which the quality characteristic is a composition. The thesis shows how traditional approaches are not consistent with this type of data, i.e. do not follow the principle of subcompositional coherence and result in control regions outside the restricted sample space. We propose a new control chart (compositional T2, T2C) based on a representation of CoDa into coordinates on real space by the use of log ratios of components. The thesis also proposes an algorithm to identify the components that are responsible of the anomaly. We have applied the T2C to a grit manufacturing process and to control the impurity profile of a drug substanceLes dades composicionals (CoDa) es defineixen com a vectors de components que representen parts d’un tot i que contenen informació relativa (e.g. %, ppm, mg/l...). Les CoDa es troben a la indústria química, farmacèutica i alimentària en altres. La tesi proposa un gràfic de control basat en l'estadístic T2 per a controlar processos en els que la característica de qualitat és una composició. Es mostra com els enfocs tradicionals proposats fins al moment no són consistents: incompleixen el principi de coherència subcomposicional i proporcionen regions de control fora de l'espai restringit. La tesi introdueix un nou gràfic de control (T2 composicional, T2C) que es basa en una representació de les CoDa en coordenades a l'espai real mitjançant expressions logràtio dels components. També es proposa un algorisme que permet identificar les components responsables de l’anomalia. S’ha aplicat el T2C al control de producció de grava i al control d'impureses d'un medicament
46
Moricz, Claudia Zavaloni Melotti de. ""Processos linfoproliferativos cutâneos de células B: a difícil distinção entre linfomas e pseudolinfomas"." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/5/5133/tde-12042006-102516/.
Full textAbstract:
Estudo dos processos linfoproliferativos cutâneos de células B objetivando demonstrar a difícil distinção diagnóstica entre os linfomas cutâneos e pseudolinfomas. Foram avaliados 38 casos de processos linfoproliferativos cutâneos de células B. Foi realizada revisão de prontuários médicos e exames anátomo-patológicos. Foram estudados 25 casos de linfomas cutâneos, 7 de pseudolinfomas e 6 casos onde não foi possível a distinção diagnóstica entre as entidades em estudo. As características clínicas, histológicas e imunoistoquímicas foram descritas para cada grupo. A análise estatística foi realizada demonstrando a similaridade entre os linfomas cutâneos e os pseudolinfomasStudy of cutaneous B-cell lymphoproliferative process with the purpose of demonstrating the difficulty of distinguishing between cutaneous lymphomas and pseudolymphomas. 38 cases of cutaneous B-cell lymphoproliferative processes were evaluated. A review of medical records and histophatologic material was performed. The study comprised 25 cases of cutaneous lymphomas, 7 cases of pseudolymphomas and 6 cases where a diagnosis distinguishing between the entities in study was not possible. It described clinical, histophatologic and immunohistochemical characteristics of each group. A statistical analysis showing the similarity between lymphomas and pseudolymphomas was performed
47
Valle, Márcia Regina Dutra do. "Análise morfométrica das fibras colágenas e reticulínicas na extrofia vesical." Universidade de São Paulo, 2004. http://www.teses.usp.br/teses/disponiveis/5/5153/tde-19032007-120355/.
Full textAbstract:
Trabalho prospectivo estudando a matriz extracelular da parede vesical em pacientes com extrofia vesical comparados ao grupo controle, pela microscopia óptica comum e luz polarizada com morfometria, quantificando-se as fibras colágenas e reticulínicas. Estudou-se 17 pacientes de ambos os sexos, biopsiando-se toda a parede vesical e empregando colorações HE, PS e Reticulina. Diferenças estatisticamente significantes foram notadas na análise quantitativa de fibras colágenas e reticulínicas o número de fibras colágenas foi significativamente maior e o número de fibras reticulínicas foi menor no grupo de pacientes com extrofia vesical quando comparado ao grupo controle.A prospective study was done to evaluate the detrusor muscle\'s extracellular matrix in classical bladder exstrophy in comparison to a control group, by use of light microscopy and polarization method with morphometry, to quantify collagen and reticular fibers. Seventeen patients from both sexes were analysed and samples were obtained from the bladder and stained with Haematoxylin-eosin, Picrosirius red and the silver impregnation method. There were significant differences when comparing the quantity of collagen and reticular fibers. The collagen fibers were more abundant in the exstrophy bladders compared to controls, while the reticular fibers were present in smaller amounts.
48
Chahine, Saad. "An Investigation of Educators’ Data Habit of Mind." Thesis, 2011. http://hdl.handle.net/1807/31712.
Full textAbstract:
Educators are increasingly being asked to interact with data to facilitate students’ learning in the classroom. However, as an educational measurement community, we have little understanding of the factors and/or contexts that facilitate educators’ successful use of data. Educators’ use of score reports and the relationship to the intended use is integral to the concept of validity. A conceptual model, “Data Habit of Mind,” is proposed to study educators’ understanding, interpretation and potential applications of results from large-scale assessments. The metaphor, “Habit of Mind,” was originally coined by Robert Sternberg and Dan Keating, and has been applied in the education sector to describe educators’ habits of inquiry when interacting with assessments. Based on an extensive review of the literature, Data Habit of Mind is defined as a combination of statistical literacy and score report interpretation. Statistical literacy is the extent to which an individual is able to describe, organize and reduce, represent, and analyze and interpret data. Score report interpretation is the extent to which an individual is able to describe, summarize, question, and propose an application for a given set of elements on a score report. The combination of these two makes up an individual’s Data Habit of Mind.
Twenty educators were interviewed to assess their level of statistical literacy and their score report interpretation skills. A cognitive interview approach was used to capture the educators’ cognitive processes as they solved performance-based tasks, and protocol analysis procedures were used to encode the responses into the conceptual model. Descriptions of educators’ Data Habit of Mind were then generated through qualitative matrix analysis. Four groups of educators were identified based on the patterns of relationship between their statistical literacy and score report interpretation scores. Demographic factors, including teaching experience, gender and educational background were not meaningful predictors of educators’ Data Habit of Mind. These results add to our understanding of how educators interpret and use test results and have implications for test validation processes.
49
"Computational techniques for statistical morphometric analysis of 3-D MRI data of human skull and brain." Thesis, 2008. http://library.cuhk.edu.hk/record=b6074676.
Full textAbstract:
Shi, Lin.Thesis (Ph.D.)--Chinese University of Hong Kong, 2008.
Includes bibliographical references (leaves 171-185).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstracts in English and Chinese.
50
Makar, Katie M. "Developing statistical inquiry: prospective secondary mathematics and science teachers' investigations of equity and fairness through analysis of accountability data." Thesis, 2004. http://hdl.handle.net/2152/2083.
Full text