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Thematische Bibliographien / Bioavailability – Research – Statistical methods / Dissertationen

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Dissertationen zum Thema „Bioavailability – Research – Statistical methods“

Autor: Grafiati

Veröffentlicht am 30. Juni 2021

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1

Corrado, Charles J. "Nonparametric statistical methods in financial market research." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184608.

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This dissertation presents an exploration of the use of nonparametric statistical methods based on ranks for use in financial market research. Applications to event study methodology and the estimation of security systematic risk are analyzed using a simulation methodology with actual daily security return data. The results indicate that procedures based on ranks are more efficient than normal theory procedures currently in common use.

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Richaud, de Minzi María Cristina. "New statistical methods for research in personality assessment." Pontificia Universidad Católica del Perú, 2013. http://repositorio.pucp.edu.pe/index/handle/123456789/99784.

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In the present work a review of the new multivariate techniques and why they appear especiallysuited to the personality research is presented. Emerging models of personality and advances in the measurement of personality and psychopathology suggest that research in this field has ente red a stage of advanced development. The past two decades have shown importan! developments in statistics and measurement. Refinement of multivariate statistics has been especially importan! in personality assessment because of the complexity of relations among personality variables. Multivariate procedures pr

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3

Grigas, Paul (Paul Edward). "Methods for convex optimization and statistical learning." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106683.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2016.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 219-225).<br>We present several contributions at the interface of first-order methods for convex optimization and problems in statistical machine learning. In the first part of this thesis, we present new results for the Frank-W

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Snell, Kym Iris Erika. "Development and application of statistical methods for prognosis research." Thesis, University of Birmingham, 2015. http://etheses.bham.ac.uk//id/eprint/6259/.

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A pivotal component of prognosis research is the prediction of future outcome risk. This thesis applies, develops and evaluates novel statistical methods for development and validation of risk prediction (prognostic) models. In the first part, a literature review of published prediction models shows that the Cox model remains the most common approach for developing a model using survival data; however, this avoids modelling the baseline hazard and therefore restricts individualised predictions. Flexible parametric survival models are shown to address this by flexibly modelling the baseline haz

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5

Ho, Lai Ping. "Application of statistical methods to problems in epidemiological research." HKBU Institutional Repository, 2003. http://repository.hkbu.edu.hk/etd_ra/454.

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6

Kunz, Lauren Margaret. "Statistical Methods for Comparative Effectiveness Research of Medical Devices." Thesis, Harvard University, 2014. http://nrs.harvard.edu/urn-3:HUL.InstRepos:14226082.

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A recent focus in health care policy is on comparative effectiveness of treatments--from drugs to behavioral interventions to medical devices. Medical devices bring a unique set of challenges for comparative effectiveness research. In this dissertation, I develop statistical methods for comparative effectiveness estimation and illustrate the methodology in the context of three different medical devices. In chapter 2, I review approaches for causal inference in the context of observational cohort studies, utilizing a potential outcomes framework demonstrated using data for patients undergoing

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Vähänikkilä, H. (Hannu). "Statistical methods in dental research, with special reference to time-to-event methods." Doctoral thesis, Oulun yliopisto, 2015. http://urn.fi/urn:isbn:9789526207933.

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Abstract Statistical methods are an essential part of the published dental research. It is important to evaluate the use of these methods to improve the quality of dental research. In the first part, the aim of this interdisciplinary study is to investigate the development of the use of statistical methods in dental journals, quality of statistical reporting and reporting of statistical techniques and results in dental research papers, with special reference to time-to-event methods. In the second part, the focus is specifically on time-to-event methods, and the aim is to demonstrate the stren

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Elia, Eleni. "Statistical methods in prognostic factor research : application, development and evaluation." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7259/.

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In patients with a particular disease or health condition, prognostic factors are characteristics (such as age, biomarkers) that are associated with different risks of a future clinical outcome. Research is needed to identify prognostic factors, but current evidence suggests that primary research is of low quality and poorly/selectively reported, which limits subsequent systematic reviews and meta-analysis. This thesis aims to improve prognostic factor research, through the application, development and evaluation of statistical methods to quantify the effect of potential prognostic factors. Fi

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Roloff, Verena Sandra. "Statistical methods for using meta-analysis to plan future research." Thesis, University of Cambridge, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.610859.

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10

Chiu, Jing-Er. "Applications of bayesian methods to arthritis research /." free to MU campus, to others for purchase, 2001. http://wwwlib.umi.com/cr/mo/fullcit?p3036813.

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11

Cefalu, Matthew Steven. "Statistical Methods for Effect Estimation in Biomedical Research: Robustness and Efficiency." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10850.

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Practical application of statistics in biomedical research is predicated on the notion that one can readily return valid effect estimates of the health consequences of treatments (exposures) that are being studied. The goal as statisticians should be to provide results that are scientifically useful, to use the available data as efficiently as possible, to avoid unnecessary assumptions, and, if necessary, develop methods that are robust to incorrect assumptions. In this dissertation, I provide methods for effect estimation that meet these goals. I consider three scenarios: (1) clustered binary

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Miettunen, J. (Jouko). "Statistical methods in psychiatric research, with special reference on factor analysis." Doctoral thesis, University of Oulu, 2004. http://urn.fi/urn:isbn:9514273672.

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Abstract This interdisciplinary study describes in the first part the frequency with which various statistical research designs and methods are reported in psychiatric journals, and investigates how the use of these methods affect the visibility of the article in the form of received citations. In the second part focus is specifically on factor analysis, and the study presents two applications of this method. Original research articles (N = 448) from four general psychiatric journals in 1996 were reviewed. The journals were the American Journal of Psychiatry, the Archives of General Psychiatry

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Man, Peter Lau Weilen. "Statistical methods for computing sensitivities and parameter estimates of population balance models." Thesis, University of Cambridge, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.608291.

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14

Wu, Chi-Hung Evelyn. "Causal analysis of highway crashes : a systematic analysis approach with subjective and statistical methods." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/20030.

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15

Boyer, Christopher A. (Christopher Andrew). "Statistical methods for forecasting and estimating passenger willingness-to-pay in airline revenue management." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61191.

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Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.<br>Page 170 blank. Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 167-169).<br>The emergence of less restricted fare structures in the airline industry reduced the capability of airlines to segment demand through restrictions such as Saturday night minimum stay, advance purchase, non-refundability, and cancellation fees. As a result, new forecasting techniques such as Hybrid Forecasting and optimization methods such as Fare Adjustment were develo

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Wong, Chun-mei May, and 王春美. "Multilevel models for survival analysis in dental research." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B3637216X.

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17

Yang, Kit-ling, and 楊潔玲. "Statistical analysis of temporal and spatial variations in suicide data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B42841811.

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Surujon, Defne. "Computational approaches in infectious disease research: Towards improved diagnostic methods." Thesis, Boston College, 2020. http://hdl.handle.net/2345/bc-ir:109089.

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Thesis advisor: Kenneth Williams<br>Due to overuse and misuse of antibiotics, the global threat of antibiotic resistance is a growing crisis. Three critical issues surrounding antibiotic resistance are the lack of rapid testing, treatment failure, and evolution of resistance. However, with new technology facilitating data collection and powerful statistical learning advances, our understanding of the bacterial stress response to antibiotics is rapidly expanding. With a recent influx of omics data, it has become possible to develop powerful computational methods that make the best use of growin

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Liang, Yiheng. "Computational Methods for Discovering and Analyzing Causal Relationships in Health Data." Thesis, University of North Texas, 2015. https://digital.library.unt.edu/ark:/67531/metadc804966/.

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Publicly available datasets in health science are often large and observational, in contrast to experimental datasets where a small number of data are collected in controlled experiments. Variables' causal relationships in the observational dataset are yet to be determined. However, there is a significant interest in health science to discover and analyze causal relationships from health data since identified causal relationships will greatly facilitate medical professionals to prevent diseases or to mitigate the negative effects of the disease. Recent advances in Computer Science, particularl

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Thomas, Clifford S. "From 'tree' based Bayesian networks to mutual information classifiers : deriving a singly connected network classifier using an information theory based technique." Thesis, University of Stirling, 2005. http://hdl.handle.net/1893/2623.

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For reasoning under uncertainty the Bayesian network has become the representation of choice. However, except where models are considered 'simple' the task of construction and inference are provably NP-hard. For modelling larger 'real' world problems this computational complexity has been addressed by methods that approximate the model. The Naive Bayes classifier, which has strong assumptions of independence among features, is a common approach, whilst the class of trees is another less extreme example. In this thesis we propose the use of an information theory based technique as a mechanism f

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Jimenez, Castro Jorge Alfonso. "Analysis of data from field plot experiments using models for spatial covariance and yield response." Thesis, University of Reading, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306463.

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Keller, Rachel Elizabeth. "Failure to Reject the p-value is Not the Same as Accepting it: The Development, Validation, and Administration of the KPVMI Instrument." Diss., Virginia Tech, 2019. http://hdl.handle.net/10919/100743.

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The purpose of this study was to investigate on a national scale the baseline level of p-value fluency of future researchers (i.e., doctoral students). To that end, two research questions were investigated. The first research question, Can a sufficiently reliable and valid measure of p-value misinterpretations (in a research context) be constructed?, was addressed via the development and validation of the Keller P-value Misinterpretation Inventory instrument (KPVMI). An iterative process of expert review, pilot testing, and field testing resulted in an adequately reliable measure (Alpha = .

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Goodpaster, Aaron M. "Statistical Analysis Methods Development for Nuclear Magnetic Resonance and Liquid Chromatography/Mass Spectroscopy Based Metabonomics Research." Miami University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=miami1312317652.

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Miller, Michael Chad. "Global Resource Management of Response Surface Methodology." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1621.

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Statistical research can be more difficult to plan than other kinds of projects, since the research must adapt as knowledge is gained. This dissertation establishes a formal language and methodology for designing experimental research strategies with limited resources. It is a mathematically rigorous extension of a sequential and adaptive form of statistical research called response surface methodology. It uses sponsor-given information, conditions, and resource constraints to decompose an overall project into individual stages. At each stage, a "parent" decision-maker determines what design o

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So, Moon-tong, and 蘇滿堂. "Applications of Bayesian statistical model selection in social scienceresearch." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39312951.

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Joshi, Shirish. "Statistical analysis and validation procedures under the common random number correlation induction strategy for multipopulation simulation experiments." Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-02132009-170935/.

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Rendina-Gobioff, Gianna. "Detecting publication bias in random effects meta-analysis : an empirical comparison of statistical methods." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001494.

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Chen, Runqiu, and 陳潤球. "Statistical validation of kidney deficiency syndromes (KDS) and the development of a KDS questionnaire in Hong Kong Chinese women aged 40-60 years." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B43223813.

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29

Chau, Ka-ki, and 周嘉琪. "Informative drop-out models for longitudinal binary data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B2962714X.

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30

Coad, D. Stephen. "Outcome-dependent randomisation schemes for clinical trials with fluctuations in patient characteristics." Thesis, University of Oxford, 1989. http://ora.ox.ac.uk/objects/uuid:970a8103-24fc-496e-82c0-0645f2b4e9c4.

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A clinical trial is considered in which two treatments are to be compared. Treatment allocation schemes are usually designed to assign approximately equal numbers of patients to each treatment. The purpose of this thesis is to investigate the efficiency of estimation and the effect of instability in the response variable for allocation schemes which are aimed at reducing the number of patients who receive the inferior treatment. The general background to outcome-dependent allocation schemes is described in Chapter 1. A discussion of ethical and practical problems associated with these methods

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李友榮 and Yau-wing Lee. "Modelling multivariate survival data using semiparametric models." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B4257528X.

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Long, Yongxian, and 龙泳先. "Semiparametric analysis of interval censored survival data." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B45541152.

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Fok, Carlotta Ching Ting 1973. "Approximating periodic and non-periodic trends in time-series data." Thesis, McGill University, 2002. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79765.

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Time-series data that reflect a periodic pattern are often used in psychology. In personality psychology, Brown and Moskowitz (1998) used spectral analysis to study whether fluctuations in the expression of four interpersonal behaviors show a cyclical pattern. Spline smoothing had also been used in the past to track the non-periodic trend, but no research has yet been done that combines spectral analysis and spline smoothing. The present thesis describes a new model which combines these two techniques to capture both periodic and non-periodic trends in the data.<br>The new model is then

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Chan, Pui-shan, and 陳佩珊. "On the use of multiple imputation in handling missing values in longitudinal studies." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B45009879.

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Michell, Justin Walter. "A review of generalized linear models for count data with emphasis on current geospatial procedures." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/d1019989.

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Analytical problems caused by over-fitting, confounding and non-independence in the data is a major challenge for variable selection. As more variables are tested against a certain data set, there is a greater risk that some will explain the data merely by chance, but will fail to explain new data. The main aim of this study is to employ a systematic and practicable variable selection process for the spatial analysis and mapping of historical malaria risk in Botswana using data collected from the MARA (Mapping Malaria Risk in Africa) project and environmental and climatic datasets from various

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Hagen, Clinton Ernest. "Comparing the performance of four calculation methods for estimating the sample size in repeated measures clinical trials where difference in treatment groups means is of interest." Oklahoma City : [s.n.], 2008.

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Nimon, Kim F. "Comparing outcome measures derived from four research designs incorporating the retrospective pretest." Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc3931/.

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Over the last 5 decades, the retrospective pretest has been used in behavioral science research to battle key threats to the internal validity of posttest-only control-group and pretest-posttest only designs. The purpose of this study was to compare outcome measures resulting from four research design implementations incorporating the retrospective pretest: (a) pre-post-then, (b) pre-post/then, (c) post-then, and (d) post/then. The study analyzed the interaction effect of pretest sensitization and post-intervention survey order on two subjective measures: (a) a control measure not related to t

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Beedell, David C. (David Charles). "The effect of sampling error on the interpretation of a least squares regression relating phosporus and chlorophyll." Thesis, McGill University, 1995. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=22720.

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Least squares linear regression is a common tool in ecological research. One of the central assumptions of least squares linear regression is that the independent variable is measured without error. But this variable is measured with error whenever it is a sample mean. The significance of such contraventions is not regularly assessed in ecological studies. A simulation program was made to provide such an assessment. The program requires a hypothetical data set, and using estimates of S$ sp2$ it scatters the hypothetical data to simulate the effect of sampling error. A regression line is drawn

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Novák, Marek. "Zadání a statistické řešení výzkumné úlohy." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-10407.

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This thesis is intent on the introduction to problems of statistical approach to research tasks. It focuses on research assignments, position of research worker and statistician while analyzing, ways of gathering data files and problems connected with them, main types of multivariate statistical methods and possible views of their classification. Moreover, this work includes overview of examples of research assignments, possibilities of their solutions and related data files. First chapter describes statistical approach to the research assignments, and the second one shows concrete examples of

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Hale, Richard Elliot. "Quantifying accuracy of measurements in the earth sciences by examination of residuals in statistically redundant observations." Thesis, Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B37687438.

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Gilbride, Timothy J. "Models for heterogeneous variable selection." Columbus, Ohio : Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1083591017.

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Thesis (Ph. D.)--Ohio State University, 2004.<br>Title from first page of PDF file. Document formatted into pages; contains xii, 138 p.; also includes graphics. Includes abstract and vita. Advisor: Greg M. Allenby, Dept. of Business Admnistration. Includes bibliographical references (p. 134-138).

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Majeke, Lunga. "Preliminary investigation into estimating eye disease incidence rate from age specific prevalence data." Thesis, University of Fort Hare, 2011. http://hdl.handle.net/10353/464.

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This study presents the methodology for estimating the incidence rate from the age specific prevalence data of three different eye diseases. We consider both situations where the mortality may differ from one person to another, with and without the disease. The method used was developed by Marvin J. Podgor for estimating incidence rate from prevalence data. It delves into the application of logistic regression to obtain the smoothed prevalence rates that helps in obtaining incidence rate. The study concluded that the use of logistic regression can produce a meaningful model, and the incidence

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Santos, Herivelto Tiago Marcondes dos. "Padrões de investimentos das empresas de eletricidade em programas de pesquisa e desenvolvimento tecnologico e em eficiencia energetica." [s.n.], 2006. http://repositorio.unicamp.br/jspui/handle/REPOSIP/265588.

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Orientador: Gilberto De Martino Jannuzzi<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica<br>Made available in DSpace on 2018-08-09T12:30:01Z (GMT). No. of bitstreams: 1 Santos_HeriveltoTiagoMarcondesdos_M.pdf: 831089 bytes, checksum: 0c9db7d62f8e506686cc6b9059f1eb4f (MD5) Previous issue date: 2006<br>Resumo: Este trabalho apresenta uma avaliação dos investimentos feitos pelas empresas brasileiras de eletricidade em programas de P&D e em eficiência energética, segundo a imposição da lei federal 9.991/00. Conforme esta lei, as empresas de eletric

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Лабабиди, М. Р., та M. R. Lababidi. "Механизм принятия управленческих решений на промышленных предприятиях : магистерская диссертация". Master's thesis, б. и, 2021. http://hdl.handle.net/10995/100716.

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Принятие оптимального управленческого решения является одним из самых сложных обязанностей руководителей предприятия, поскольку с ростом неопределенности и количества независимых переменных решаемой проблемы, решения становятся более сложными, что требует надежных методов, помогающих менеджерам сделать более разумный выбор среди альтернативных вариантов действий. Целью магистерской диссертации является разработка теоретических и методических подходов к повышению эффективности процессов принятия управленческих решений на основе математических и статистических методов. В работе рассматривается в

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Marmara, Vincent Anthony. "Prediction of Infectious Disease outbreaks based on limited information." Thesis, University of Stirling, 2016. http://hdl.handle.net/1893/24624.

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The last two decades have seen several large-scale epidemics of international impact, including human, animal and plant epidemics. Policy makers face health challenges that require epidemic predictions based on limited information. There is therefore a pressing need to construct models that allow us to frame all available information to predict an emerging outbreak and to control it in a timely manner. The aim of this thesis is to develop an early-warning modelling approach that can predict emerging disease outbreaks. Based on Bayesian techniques ideally suited to combine information from diff

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Sales, Filho Nazime 1986. "Análise qualitativa de um modelo de propagação de dengue para populações espacialmente homogêneas." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306772.

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Orientador: Bianca Morelli Rodolfo Calsavara<br>Dissertação (mestrado profissional) - Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica<br>Made available in DSpace on 2018-08-26T15:10:31Z (GMT). No. of bitstreams: 1 SalesFilho_Nazime_M.pdf: 36937949 bytes, checksum: 4ceff2992bbc8648a89104715aac602e (MD5) Previous issue date: 2015<br>Resumo: Neste trabalho será analisado um modelo matemático que descreve a propagação da dengue. Tal modelo é dado por um sistema de equações diferenciais ordinárias não lineares sujeitas a condições iniciais, que desc

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Borodin, Valeria. "Optimisation et simulation d'une chaîne logistique : application au secteur de l'agriculture." Thesis, Troyes, 2014. http://www.theses.fr/2014TROY0034/document.

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Dans le cadre de la thèse portant sur l’optimisation et simulation de la chaîne logistique agricole, c'est l'activité de collecte qui est concernée, la période de moisson étant primordiale en matière de quantité et qualité de production, i.e. des revenus pour les agri-culteurs et des richesses pour le territoire. Plus spécifiquement, celle-ci implique les opérations de récolte, transport et stockage des céréales, réalisées par plusieurs exploitations agricoles, dispersées géographiquement. En vue d'aborder la complexité et la nature dyna-mique de la chaîne logistique d’une coopérative agricole

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Oteniya, Lloyd. "Bayesian belief networks for dementia diagnosis and other applications : a comparison of hand-crafting and construction using a novel data driven technique." Thesis, University of Stirling, 2008. http://hdl.handle.net/1893/497.

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The Bayesian network (BN) formalism is a powerful representation for encoding domains characterised by uncertainty. However, before it can be used it must first be constructed, which is a major challenge for any real-life problem. There are two broad approaches, namely the hand-crafted approach, which relies on a human expert, and the data-driven approach, which relies on data. The former approach is useful, however issues such as human bias can introduce errors into the model. We have conducted a literature review of the expert-driven approach, and we have cherry-picked a number of common met

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Makulube, Mzamo. "Bioequivalence tests based on individual estimates using non-compartmental or model-based analysis." Thesis, 2019. https://hdl.handle.net/10539/29370.

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A research report submitted in partial fulfilment of Mathematical Statistics Masters by Coursework and Research Report to the Faculty of Science, University of the Witwatersrand, Johannesburg, 2019<br>The growing demand for generic drugs has led to an increase in the generic drug industry. As a result, there has been a growing demand for bioequivalence studies. The challenges with the bioequivalence studies arose with the method used to quantify bioavailability. Bioavailability is commonly estimated by the area under the concentration-time curve (AUC), which is traditionally estimated by Non-C

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Palmer, Cameron Douglas. "Developing Statistical Methods for Incorporating Complexity in Association Studies." Thesis, 2017. https://doi.org/10.7916/D8SQ9BX2.

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Genome-wide association studies (GWAS) have identified thousands of genetic variants associated with hundreds of human traits. Yet the common variant model tested by traditional GWAS only provides an incomplete explanation for the known genetic heritability of many traits. Many divergent methods have been proposed to address the shortcomings of GWAS, including most notably the extension of association methods into rarer variants through whole exome and whole genome sequencing. GWAS methods feature numerous simplifications designed for feasibility and ease of use, as opposed to statistical rigo

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