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Dissertations / Theses on the topic 'Longitudinal clusters'

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Published: 5 June 2025

Last updated: 1 August 2025

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1

Skerman, Helen Mary. "Alternative analytical methods for the identification of cancer-related symptom clusters." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/34503/1/Helen_Skerman_Thesis.pdf.

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Advances in symptom management strategies through a better understanding of cancer symptom clusters depend on the identification of symptom clusters that are valid and reliable. The purpose of this exploratory research was to investigate alternative analytical approaches to identify symptom clusters for patients with cancer, using readily accessible statistical methods, and to justify which methods of identification may be appropriate for this context. Three studies were undertaken: (1) a systematic review of the literature, to identify analytical methods commonly used for symptom cluster iden

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2

Tassinari, Wagner de Souza. "Modelagem espacial, temporal e longitudinal: diferentes abordagens do estudo da leptospirose urbana." reponame:Repositório Institucional da FIOCRUZ, 2009. https://www.arca.fiocruz.br/handle/icict/2539.

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Made available in DSpace on 2011-05-04T12:42:00Z (GMT). No. of bitstreams: 0 Previous issue date: 2009<br>(...) O objetivo desta tese foi modelar os fatores de risco associados à ocorrência de leptospirose urbana em diferentes contextos, com especial atenção para aspectos espaciais e temporais. Foram utilizadas técnicas de modelagem tais como, modelos generalizados aditivos e mistos. Também explorou-se técnicas de detecção de aglomerados espaço-temporais. (...)<br>Leptospirosis, a disease caused by pathogenic spirochete of the genus Leptospira, is one of the most widespread zoonoses in the

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Dufour, Alyssa Beth. "Cluster analysis of longitudinal trajectories." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12751.

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Thesis (Ph.D.)--Boston University<br>Cluster analysis is widely used in many disciplines including biology, psychology, archaeology, geography, and marketing. Methods have been developed to extend cluster analysis to longitudinal data, clustering subject trajectories rather than single time points. Here, I examine 2 methods of longitudinal cluster analysis: k-means and model-based (implemented using FlexMix in R) cluster analysis. I compare these two methods based on the Correct Classification Rate, the ability of the method to correctly classify subject trajectories into groups, using a simul

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Gao, Dexiang. "Analysis of clustered longitudinal count data /." Connect to full text via ProQuest. Limited to UCD Anschutz Medical Campus, 2007.

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Thesis (Ph.D. in Analytic Health Sciences, Department of Preventive Medicine and Biometrics) -- University of Colorado Denver, 2007.<br>Typescript. Includes bibliographical references (leaves 75-77). Free to UCD affiliates. Online version available via ProQuest Digital Dissertations;

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5

Modur, Sharada P. "Missing Data Methods for Clustered Longitudinal Data." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1274876785.

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6

French, Benjamin. "Analysis of aggregate longitudinal data with time-dependent exposure /." Thesis, Connect to this title online; UW restricted, 2008. http://hdl.handle.net/1773/9569.

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7

Hu, Zonghui. "Semiparametric functional data analysis for longitudinal/clustered data: theory and application." Texas A&M University, 2004. http://hdl.handle.net/1969.1/3088.

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Semiparametric models play important roles in the ﬁeld of biological statistics. In this dissertation, two types of semiparametic models are to be studied. One is the partially linear model, where the parametric part is a linear function. We are to investigate the two common estimation methods for the partially linear models when the data is correlated Â longitudinal or clustered. The other is a semiparametric model where a latent covariate is incorporated in a mixed effects model. We will propose a semiparametric approach for estimation of this model and apply it to the study on colon

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Fassler, Cecily. "Hormone Phenotypes and the Timing of Pubertal Milestones in a Longitudinal Cohort of Girls." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1554212951371174.

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9

Lehman, Rebecca. "The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies." VCU Scholars Compass, 2017. http://scholarscompass.vcu.edu/etd/4957.

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With the influx of high-dimensional data there is an immediate need for statistical methods that are able to handle situations when the number of predictors greatly exceeds the number of samples. One such area of growth is in examining how environmental exposures to toxins impact the body long term. The cytokinesis-block micronucleus assay can measure the genotoxic effect of exposure as a count outcome. To investigate potential biomarkers, high-throughput assays that assess gene expression and methylation have been developed. It is of interest to identify biomarkers or molecular features that

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10

Pereira, Bruno. "Développements méthodologiques des essais randomisés en clusters : application aux essais d'intervention." Montpellier 1, 2008. http://www.theses.fr/2008MON1T042.

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Les essais randomisés en clusters (ERC), dans lesquels des clusters d'individus sont assignés aléatoirement à différents groupes d'intervention, sont devenus un outil essentiel dans l'évaluation des interventions non thérapeutiques. Leur popularité croissante au cours des deux dernières décennies a mené à une littérature et une méthodologie riches qui renvoient à plusieurs disciplines dans les sciences statistiques, sociales et médicales. Aussi, face aux questionnements épidémiologiques et aux problèmes statistiques soulevés par ces essais, l'objectif de ce travail réside dans le développement

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11

Santiago, Calderón José Bayoán. "On Cluster Robust Models." Scholarship @ Claremont, 2019. https://scholarship.claremont.edu/cgu_etd/132.

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Cluster robust models are a kind of statistical models that attempt to estimate parameters considering potential heterogeneity in treatment effects. Absent heterogeneity in treatment effects, the partial and average treatment effect are the same. When heterogeneity in treatment effects occurs, the average treatment effect is a function of the various partial treatment effects and the composition of the population of interest. The first chapter explores the performance of common estimators as a function of the presence of heterogeneity in treatment effects and other characteristics that may inf

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Karlsson, Fredrik. "The acquisition of contrast : a longitudinal investigation of initial s+plosive cluster development in Swedish children." Doctoral thesis, Umeå : Department of philosophy and linguistics, Umeå university, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-829.

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13

Ren, Yan. "A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337085531.

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Franzén, Jessica. "Bayesian Cluster Analysis : Some Extensions to Non-standard Situations." Doctoral thesis, Stockholm University, Department of Statistics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7686.

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<p>The Bayesian approach to cluster analysis is presented. We assume that all data stem from a finite mixture model, where each component corresponds to one cluster and is given by a multivariate normal distribution with unknown mean and variance. The method produces posterior distributions of all cluster parameters and proportions as well as associated cluster probabilities for all objects. We extend this method in several directions to some common but non-standard situations. The first extension covers the case with a few deviant observations not belonging to one of the normal clusters. An e

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Stephens, Alisa Jane. "Enhancing Statistician Power: Flexible Covariate-Adjusted Semiparametric Inference for Randomized Studies with Multivariate Outcomes." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10449.

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It is well known that incorporating auxiliary covariates in the analysis of randomized clinical trials (RCTs) can increase efficiency. Questions still remain regarding how to flexibly incorporate baseline covariates while maintaining valid inference. Recent methodological advances that use semiparametric theory to develop covariate-adjusted inference for RCTs have focused on independent outcomes. In biomedical research, however, cluster randomized trials and longitudinal studies, characterized by correlated responses, are commonly used. We develop methods that flexibly incorporate baselin

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Zhou, Kefei. "A unified approach to nonparametric comparison of receiver operating characteristic curves for longitudinal and clustered data." Diss., Restricted to subscribing institutions, 2006. http://proquest.umi.com/pqdweb?did=1273096611&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Daukantaitė, Daiva. "Subjective Well-Being in Swedish Women." Doctoral thesis, Stockholm University, Department of Psychology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1278.

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<p>The present thesis concerns middle-aged women’s subjective well-being (SWB). The interest is focused on the importance of childhood factors, social circumstances, and personality for middle-aged women’s general SWB. Data were taken from the longitudinal research program Individual Development and Adaptation (IDA, Magnusson & Bergman, 2000) and concerned a sample of about 300 women. The main analyses were made on data collected at age 43, but data collected at age 13 and age 49 were also used to elucidate the purposes of this thesis. The results can be summarized as follows: 1) In a Swedish

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Merdan, Mohammad Ghanim Merdan. "Study of the excited states of the quantum antiferromagnets." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/study-of-the-excited-states-of-the-quantum-antiferromagnets(dfd01ec6-806c-464a-9b68-910217679c3c).html.

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We investigate the quantum dynamics of the spins on different Heisenberg antiferromagnetic spin lattice systems. Firstly, we applied the coupled-cluster method to the spin-1/2 antiferromagnetic XXZ model on a square lattice by employing an approximation which contains two-body long-range correlations and high-order four-body local correlations. Improvement is found for the ground-state energy, sublattice magnetization, and the critical anisotropy when comparing with the approximation including the two-body correlations alone. We also obtain the full excitation spectrum which is in good agreeme

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Tanner, Whitney Ford. "Improved Standard Error Estimation for Maintaining the Validities of Inference in Small-Sample Cluster Randomized Trials and Longitudinal Studies." UKnowledge, 2018. https://uknowledge.uky.edu/epb_etds/20.

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Data arising from Cluster Randomized Trials (CRTs) and longitudinal studies are correlated and generalized estimating equations (GEE) are a popular analysis method for correlated data. Previous research has shown that analyses using GEE could result in liberal inference due to the use of the empirical sandwich covariance matrix estimator, which can yield negatively biased standard error estimates when the number of clusters or subjects is not large. Many techniques have been presented to correct this negative bias; However, use of these corrections can still result in biased standard error est

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Haines, Helen. "‘No worries’ : A longitudinal study of fear, attitudes and beliefs about childbirth from a cohort of Australian and Swedish women." Doctoral thesis, Uppsala universitet, Obstetrik & gynekologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-185081.

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Much is known about childbirth fear in Sweden including its relationship to caesarean birth. Less is understood about this in Australia. Sweden has half the rate of caesarean birth compared to Australia. Little has been reported about women’s beliefs and attitudes to birth in either country. The contribution of psychosocial factors such as fear, attitudes and beliefs about childbirth to the global escalation of caesarean birth in high-income countries is an important topic of debate. The overall aim of this thesis is to investigate the prevalence and impact of fear on birthing outcomes in two

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Wang, Ke. "Multistate Markov chain transition models for clustered longitudinal categorical data: application to a knee pain severity study." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12879.

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Thesis (Ph.D.)--Boston University PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>In longitudinal biomedical research, outcome data are often collected on a categorical scale from multiple locations of the same individual over time. For example, an important feature of knee osteoarthritis (O

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Zettergren, Peter. "Children’s Peer Status and Their Adjustment in Adolescence and Adulthood : Developmental issues in sociometric research." Doctoral thesis, Stockholm University, Department of Psychology, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-6646.

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<p>The present research intended to examine the relationship between childhood stable peer status and adjustment in midadolescence for both genders, and adjustment in early and middle adulthood for women. One-year stably peer rejected, popular, and average boys and girls were identified by an age 10 and age 11 sociometric classification procedure using positive nominations and rank-ordering. These groups were examined in midadolescence. Findings indicated that stable peer rejection in childhood was associated with negative school adjustment and problems in peer relations in adolescence for bot

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Alnaji, Lulah A. "Generalized Estimating Equations for Mixed Models." Bowling Green State University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1530292694012892.

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McGilligan, Caroline M. "Testicular self-examination behaviour, the development and longitudinal evaluation of a theory-based intervention utilizing the theory of planned behaviour : A clustered randomized control trial." Thesis, University of Ulster, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.531028.

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Stålnacke, Johanna. "Rough beginnings : Executive function in adolescents and young adults after preterm birth and repeat antenatal corticosteroid treatment." Doctoral thesis, Stockholms universitet, Psykologiska institutionen, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-106798.

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This thesis investigates long-term cognitive outcome in two cohorts of adolescents and young adults exposed to stressors during the perinatal period: one group born preterm (<37 weeks of gestation and birth weight <1,500 g); one group exposed to two or more courses of antenatal corticosteroids (ACS), to stimulate lung maturation in the face of threatening preterm birth. In fetal life the brain undergoes dramatic growth, and a disruption to the early establishment of functional neural networks may interrupt development in ways that are difficult to predict. Executive function refers to a

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Rakotondravoavy, Yannick. "Convergences et tensions autour d’un artefact cognitif : deux études de cas longitudinales de l’usage du business model dans les partenariats public privé de R&D." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLV060.

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La thèse porte sur l’étude de la formation de convergences et de tensions dans les choix stratégiques opérés par les partenaires public et privé engagés dans la valorisation des activités collaboratives de R&D. Il s’agit d’en caractériser les déterminants et d’identifier également les moyens permettant de les dépasser. L'originalité de l'approche consiste à mobiliser l'outil conceptuel du business model pour en évaluer la portée en tant qu'artefact cognitif d'analyse de cette situation de gestion et en tant qu'instrument de management stratégique de celles-ci. Le travail s'appuie sur deux

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Hefter, Helen. "The Acquisition of /s/ + Consonant Onset Clusters: A Longitudinal Study." Thesis, 2012. http://spectrum.library.concordia.ca/973822/1/Hefter_MA_S2012.pdf.

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The purpose of this research was to establish a developmental path for the acquisition of word-initial homorganic /s/ + consonant clusters (#sC), namely /st-/, /sn-/, and /sl-/ and, consequently, to determine which two hypotheses (one based on input frequency and one on sonority markedness) would better account for the path of #sC acquisition observed in the speech of one English speaking child between the ages of 2;3 and 3;10. The developmental path of #sC clusters was charted longitudinally using a triangulation of methodologies: (1) controlled (audio recorded) elicitations of pseudo-words (

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WANG, BO-SIAN, and 王博賢. "Resampling Model Selection for Cluster/Longitudinal Data." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/z5hqjy.

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碩士<br>國立中正大學<br>數學系統計科學研究所<br>105<br>The generalized estimating equation (GEE) has been a popular tool for marginal regression analysis with longitudinal data, and its extension, the Cluster weighted GEE approach (CWGEE, Williamson et al., 2003), can further accommodate data when cluster size is informative. The model selection issue in the GEE framework has been discussed in previous literature when cluster size is non-informative. However, it is still unknown how to perform model selection in GEE analysis when the cluster size is informative. In this work, we have proposed a resampling mod

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TSENG, CHIH-PIN, and 曾智彬. "The model selection under the cluster longitudinal data." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/84jx7e.

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碩士<br>國立中正大學<br>數學系統計科學研究所<br>107<br>In our life, we routinely conduct health examination every year, or we read financial statements of companies at each quarter when investing. Another one, when working in production, we pay attention to the quality of production of every batch of each series, etc.. All of these are belong to clustered longitudinal data. And this data type is independent between the cluster and the cluster, and there is a vertical correlation between the factors considered in the cluster. The factors also have the characteristics of repeated observations, and the repeated

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Stephenson, Matthew. "Weighting Approaches for Longitudinal Data with Time-Dependent Cluster Sizes." Thesis, 2013. http://hdl.handle.net/10214/7744.

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Generalized estimating equations (GEEs) are commonly used in the modelling of correlated data. However, in the presence of informative cluster sizes, estimates obtained using GEEs may be biased. In order to correct for this bias a weighted GEE may be used. Previous research has extended the use of weighted GEEs to a longitudinal setting but requires that cluster sizes remain constant over time. In this thesis, two new weighting schemes are investigated to allow for valid parameter estimation in a longitudinal setting where cluster sizes are informative and may change over time. Specifically,

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Wang, Thin-Yi, and 王馨儀. "The Analysis of Bivariate longitudinal Clustered Binary Data." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/50263078347570274689.

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碩士<br>國立東華大學<br>應用數學系<br>91<br>In many sociological and medical studies, repeated measurements of several response variables, along with other covariate variables, are taken from a fixed sample of subjects, resulting in longitudinal data. These data are often fitted by regression models to study the relationships between the response variables and the covariates. Many regression models have been proposed in the literature for univariate binary data, including settings of clustered data, longitudinal data and longitudinal clustered data. In recent years, only a few regression models for bivar

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Lin, Hsin-Hung, and 林信宏. "Cluster Analysis for Longitudinal Data using Noncentrality and Iterated Recombinations ofSubset." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/31492869512925289572.

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碩士<br>國立中興大學<br>統計學研究所<br>104<br>The purpose of this thesis is the discussion of the new cluster analysis method. This study suggests noncentrality as an index for measuring dissimilarity in longitudinal data clustering, and proposes a computational algorithm called iterated-recombination-of-subset (IRS) method to improve noncentrality clustering. We compare our proposal with the K-means method and a k-centers based on principal component analysis (KC-PCA). Since longitudinal data properties often contain heterogeneity with time changing, we divide data into many subsets by time and cluster al

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Chen, Guan-Yu, and 陳冠宇. "Noncentrality as a Dissimilarity Measure in Cluster Analysis for Longitudinal Data." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/22014227250235249184.

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碩士<br>國立中興大學<br>統計學研究所<br>102<br>This study proposes noncentrality as an index for measuring dissimilar- ity for longitudinal data clustering. For the data sampled at the same time points, we assume that the values of different clusters fulfill the framework of one-way ANOVA and then can be calculated the noncentralities. The over- all discrepancy among clusters is reasonably measured by accumulating the noncentralities across different time points. We use this accumulated measure for hierarchical divisive clustering. Methods proposed in the literature are compared with the present one; includ

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Torelli, Giulia. "Employment, uncertainty and fertility in couples: modelling longitudinal clustered data." Doctoral thesis, 2021. http://hdl.handle.net/2158/1237414.

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In recent decades, total fertility has declined in almost all European countries and has reached sub-replacement levels. From the 1990s, and in particular in the aftermath of the Great Recession, economic uncertainty escalated as a fundamental factor in explaining the postponement of family formation and the fertility decline in Europe. The primary goal of this PhD dissertation is to investigate the link between economic uncertainty (using employment uncertainty as proxy), and the transition to the first and to the second child across European countries. An ancillary goal of this research is t

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Wang, Min-Chi, and 王敏琪. "A Multivariate Regression Model for Analyzing Longitudinal Clustered Data of Multiple Ordinal Responses." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/53836590002675315810.

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碩士<br>國立東華大學<br>應用數學系<br>93<br>Many follow-up scientific studies take repeated observations of several ordinal responses variables along with some covariate variables from subjects in a fixed sample of clusters over a certain period of time. Such observations comprise the longitudinal clustered data of multiple ordinal responses. To find the relationship between the responses and the covariates, it is common to fit appropriate regression models to the data. In this thesis, we propose a marginal multivariate regression model for analyz- ing longitudinal clustered data of multiple ordinal respon

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Chang, Chih-Ling, and 張芷綾. "A Multivariate Regression Model for Analyzing Longitudinal Clustered Data of Multiple Binary Responses." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/79442295895155674504.

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碩士<br>國立東華大學<br>應用數學系<br>92<br>In many scientific follow-up studies, repeated observations of several response variables, along with other covariate variables, are taken from a fixed sample of clusters, resulting in multivariate longitudinal clustered data. It is often of interest in these studies to develop appropriate multivariate regression models for investigating the relationships between the response variables and the covariates while taking into account the association among multiple responses. In the thesis, we propose a multivariate regression model for analyzing longitudinal c

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Harasemiw, Oksana. "The relationship between social isolation, social support, and mental health." 2016. http://hdl.handle.net/1993/31231.

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This study explored how the structural aspects of a social network (that is, number of social ties, frequency of contact, as well as social participation), along with the functional aspect (social support), relate to mental health. Using data from the baseline questionnaire for the tracking cohort of participants in the Canadian Longitudinal Study on Aging, community-dwelling older adults aged 65-85 years old were studied. Cluster analysis was used to group individuals into different clusters, based on their structural social network characteristics. Six clusters were found, ranging from most

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HUANG, HSIU-YU, and 黃秀玉. "The Longitudinal Research on Integer Addition and Subtraction Concepts for Junior-Grade Elementary School Students －An Integrated Application Using Fuzzy Cluster Analysis and Ordering Theory." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/40263630331125675796.

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碩士<br>國立臺中教育大學<br>數學教育學系在職進修教學碩士學位班<br>96<br>Addition and subtraction are not only the key points of math for elementary schools beginner students, but also are fundamental factors for students to learn math. Therefore, this research sampled total of 413 junior-grade elementary school students as subjects and is conducted by using “Self-Designed Addition and Subtraction Word Problems Tests” integrated with fuzzy clustering and generalized ordering theory. This paper is to explore the cross-time variations in terms of solving representation, clusters in which the students are categorized, the k

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Dang, Sanjeena. "Variational Approximations and Other Topics in Mixture Models." Thesis, 2012. http://hdl.handle.net/10214/3876.

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Mixture model-based clustering has become an increasingly popular data analysis technique since its introduction almost fifty years ago. Families of mixture models are said to arise when the component parameters, usually the component covariance matrices, are decomposed and a number of constraints are imposed. Within the family setting, it is necessary to choose the member of the family --- i.e., the appropriate covariance structure --- in addition to the number of mixture components. To date, the Bayesian information criterion (BIC) has proved most effective for this model selection process,

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Lewis, Kendra M. "Evaluation of a social-emotional and character development program : methods and outcomes." Thesis, 2012. http://hdl.handle.net/1957/29191.

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Schools are increasingly expected to prevent and decrease violence, substance use, and other problem behaviors linked to academics and prepare students to be contributing members of society. One approach with proven success in promoting positive outcomes related to a broad range of student behaviors and personal characteristics is social-emotional learning, also known as positive youth development or social-emotional and character development (SECD) programs. Currently, little is known about the relationship between SECD and these outcomes in low-income, urban, minority populations. The pres

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