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Dissertations / Theses on the topic 'Generalized linear mixed model (GLMM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Nuthmann, Antje, Wolfgang Einhäuser, and Immo Schütz. "How Well Can Saliency Models Predict Fixation Selection in Scenes Beyond Central Bias? A New Approach to Model Evaluation Using Generalized Linear Mixed Models." Universitätsbibliothek Chemnitz, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-232614.

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Since the turn of the millennium, a large number of computational models of visual salience have been put forward. How best to evaluate a given model's ability to predict where human observers fixate in images of real-world scenes remains an open research question. Assessing the role of spatial biases is a challenging issue; this is particularly true when we consider the tendency for high-salience items to appear in the image center, combined with a tendency to look straight ahead (“central bias”). This problem is further exacerbated in the context of model comparisons, because some—but not al

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Carvalho, Rafael Augusto Pincante de. "Fatores determinantes da intensidade de uso dos abrigos pela geneta (Genetta genetta L. 1758) numa região mediterrânica." Master's thesis, Universidade de Évora, 2012. http://hdl.handle.net/10174/15506.

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A disponibilidade de locais de abrigo é um elemento chave para a persistência e conservação de populações de carnívoros. Este trabalho avaliou a influência de gradientes ecológicos na seleção e intensidade de uso de abrigos pela geneta. Foram caracterizados os abrigos de 21 genetas sujeitas a radioseguimento diário, entre Maio de 2010 e Janeiro de 2012. Usaram-se modelos lineares mistos para modelar 4 gradientes ecológicos definidos com base numa Análise de Componentes Principais a partir das variáveis explicativas originais. A tranquilidade (31%), a heterogeneidade da paisagem (23%), o relevo

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Gory, Jeffrey J. "Marginally Interpretable Generalized Linear Mixed Models." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1497966698387606.

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4

Tang, On-yee, and 鄧安怡. "Estimation for generalized linear mixed model via multipleimputations." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B30687652.

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5

Sepato, Sandra Moepeng. "Generalized linear mixed model and generalized estimating equation for binary longitudinal data." Diss., University of Pretoria, 2014. http://hdl.handle.net/2263/43143.

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The most common analysis used for binary data is generalised linear model (GLM) with either a binomial or bernoulli distribution using either a logit, probit, complementary log-log or other type of link functions. However, such analyses violate the independence assumption if the binary data are measured repeatedly over time at the same subject or site. Failure to take into account the correlation can lead to incorrect estimation of regression parameters and the estimates are less efficient, particularly when the correlations are large. Therefore, to obtain the most efficient estimates th

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Tang, On-yee. "Estimation for generalized linear mixed model via multiple imputations." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B30687652.

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7

Chen, Jinsong. "Semiparametric Methods for the Generalized Linear Model." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/28012.

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The generalized linear model (GLM) is a popular model in many research areas. In the GLM, each outcome of the dependent variable is assumed to be generated from a particular distribution function in the exponential family. The mean of the distribution depends on the independent variables. The link function provides the relationship between the linear predictor and the mean of the distribution function. In this dissertation, two semiparametric extensions of the GLM will be developed. In the first part of this dissertation, we have proposed a new model, called a semiparametric generalized linear

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Greenaway, Mark Jonathan. "Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20233.

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Approximate Bayesian inference methods offer methodology for fitting Bayesian models as fast alternatives to Markov Chain Monte Carlo methods that sometimes have only a slight loss of accuracy. In this thesis, we consider variable selection for linear models, and zero inflated mixed models. Variable selection for linear regression models are ubiquitous in applied statistics. We use the popular g-prior (Zellner, 1986) for model selection of linear models with normal priors where g is a prior hyperparameter. We derive exact expressions for the model selection Bayes Factors in terms of special f

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9

Yam, Ho-kwan, and 任浩君. "On a topic of generalized linear mixed models and stochastic volatility model." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B29913342.

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10

Sima, Adam. "Accounting for Model Uncertainty in Linear Mixed-Effects Models." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/2950.

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Standard statistical decision-making tools, such as inference, confidence intervals and forecasting, are contingent on the assumption that the statistical model used in the analysis is the true model. In linear mixed-effect models, ignoring model uncertainty results in an underestimation of the residual variance, contributing to hypothesis tests that demonstrate larger than nominal Type-I errors and confidence intervals with smaller than nominal coverage probabilities. A novel utilization of the generalized degrees of freedom developed by Zhang et al. (2012) is used to adjust the estimate of t

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Zhan, Tingting. "The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data." Diss., Temple University Libraries, 2012. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/171613.

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Statistics<br>Ph.D.<br>We propose the generalized linear mixed model for finite normal mixtures (GLMFM), as well as the estimation procedures for the GLMFM model, which are widely applicable to the hierarchical dataset with small number of individual units and multi-modal distributions at the lowest level of clustering. The modeling task is two-fold: (a). to model the lowest level cluster as a finite mixtures of the normal distribution; and (b). to model the properly transformed mixture proportions, means and standard deviations of the lowest-level cluster as a linear hierarchical structure. W

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12

Chen, Yin. "Quasi-Monte Carlo methods in generalized linear mixed model with correlated and non-normal random effects." Thesis, University of Manchester, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.516829.

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Codd, Casey. "A Review and Comparison of Models and Estimation Methods for Multivariate Longitudinal Data of Mixed Scale Type." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398686513.

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Barbosa, Luciano [UNESP]. "Metodologias estatísticas na análise de germinação de sementes de mamona." Universidade Estadual Paulista (UNESP), 2010. http://hdl.handle.net/11449/101848.

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Made available in DSpace on 2014-06-11T19:31:37Z (GMT). No. of bitstreams: 0 Previous issue date: 2010-11-16Bitstream added on 2014-06-13T21:02:57Z : No. of bitstreams: 1 barbosa_l_dr_botfca.pdf: 2587351 bytes, checksum: 76e343f1e0edbbbee5cb996188d8efd2 (MD5)<br>É bastante comum na área agrícola, experimentos cujas variáveis respostas são contagens ou proporções. Para esse tipo de dados, utiliza-se a metodologia de modelos lineares generalizados quando as respostas são independentes. Por outro lado, quando as respostas são dependentes, há uma correlação entre as observações e isso tem que se

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Cho, Jang Ik. "Partial EM Procedure for Big-Data Linear Mixed Effects Model, and Generalized PPE for High-Dimensional Data in Julia." Case Western Reserve University School of Graduate Studies / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case152845439167999.

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Wang, Yu. "A study on the type I error rate and power for generalized linear mixed model containing one random effect." Kansas State University, 2017. http://hdl.handle.net/2097/35301.

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Master of Science<br>Department of Statistics<br>Christopher Vahl<br>In animal health research, it is quite common for a clinical trial to be designed to demonstrate the efficacy of a new drug where a binary response variable is measured on an individual experimental animal (i.e., the observational unit). However, the investigational treatments are applied to groups of animals instead of an individual animal. This means the experimental unit is the group of animals and the response variable could be modeled with the binomial distribution. Also, the responses of animals within the same experime

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Barbosa, Luciano 1971. "Metodologias estatísticas na análise de germinação de sementes de mamona /." Botucatu : [s.n.], 2010. http://hdl.handle.net/11449/101848.

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Orientador: Luiza Aparecida Trinca<br>Banca: Liciana Vaz da Arruda<br>Banca: Osmar Delmanto Junior<br>Banca: Célia Regina Lopes Zimback<br>Banca: Marli Teixeira de A. Minhoni<br>Resumo: É bastante comum na área agrícola, experimentos cujas variáveis respostas são contagens ou proporções. Para esse tipo de dados, utiliza-se a metodologia de modelos lineares generalizados quando as respostas são independentes. Por outro lado, quando as respostas são dependentes, há uma correlação entre as observações e isso tem que ser levado em consideração na análise, para evitar inferências incorretas sobre o

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SALISBURY, SHEILIA. "The Multivariate Generalized Linear Mixed Model for a Joint Modeling Approach for Analysis of Tumor Multiplicity Data: Development and Comparison of Methods." University of Cincinnati / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1202404654.

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Chao, Yi. "Bayesian Hierarchical Latent Model for Gene Set Analysis." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/32060.

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Pathway is a set of genes which are predefined and serve a particular celluar or physiological function. Ranking pathways relevant to a particular phenotype can help researchers focus on a few sets of genes in pathways. In this thesis, a Bayesian hierarchical latent model was proposed using generalized linear random effects model. The advantage of the approach was that it can easily incorporate prior knowledges when the sample size was small and the number of genes was large. For the covariance matrix of a set of random variables, two Gaussian random processes were considered to construct the

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Mahmoud, Hamdy Fayez Farahat. "Some Advanced Semiparametric Single-index Modeling for Spatially-Temporally Correlated Data." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/76744.

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Semiparametric modeling is a hybrid of the parametric and nonparametric modelings where some function forms are known and others are unknown. In this dissertation, we have made several contributions to semiparametric modeling based on the single index model related to the following three topics: the first is to propose a model for detecting change points simultaneously with estimating the unknown function; the second is to develop two models for spatially correlated data; and the third is to further develop two models for spatially-temporally correlated data. To address the first topic, we pr

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Barbu, Otilia C. "Using PROC GLIMMIX to Analyze the Animal Watch, a Web-Based Tutoring System for Algebra Readiness." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/238636.

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In this study, I investigated how proficiently seventh-grade students enrolled in two Southwestern schools solve algebra word problems. I analyzed various factors that could affect this proficiency and explored the differences between English Learners (ELs) and native English Primary students (EPs). I collected the data as part of the Animal Watch project, a computer-based initiative designed to improve the mathematical skills of children from grades 5-8 in the Southwest. A sample of 86 students (26 ELs and 60 EPs), clustered in four different classes, was used for this project. A Generali

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Shen, Xia. "Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation." Doctoral thesis, Uppsala universitet, Beräknings- och systembiologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-170091.

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This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. In variance component QTL analysis, a full likelihood model accounting for uncertainty in the identity-by-descent (IBD) matrix was developed. It was found to be able to correctly adjust the bias in genetic variance component estimation and gain power in QTL m

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Apanasovich, Tatiyana Vladimirovna. "Testing for spatial correlation and semiparametric spatial modeling of binary outcomes with application to aberrant crypt foci in colon carcinogenesis experiments." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/2674.

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In an experiment to understand colon carcinogenesis, all animals were exposed to a carcinogen while half the animals were also exposed to radiation. Spatially, we measured the existence of aberrant crypt foci (ACF), namely morphologically changed colonic crypts that are known to be precursors of colon cancer development. The biological question of interest is whether the locations of these ACFs are spatially correlated: if so, this indicates that damage to the colon due to carcinogens and radiation is localized. Statistically, the data take the form of binary outcomes (corresponding to the exi

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Chen, Chen. "Evaluating Time-varying Effect in Single-type and Multi-type Semi-parametric Recurrent Event Models." Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/64371.

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This dissertation aims to develop statistical methodologies for estimating the effects of time-fixed and time-varying factors in recurrent events modeling context. The research is motivated by the traffic safety research question of evaluating the influence of crash on driving risk and driver behavior. The methodologies developed, however, are general and can be applied to other fields. Four alternative approaches based on various data settings are elaborated and applied to 100-Car Naturalistic Driving Study in the following Chapters. Chapter 1 provides a general introduction and background o

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Oliveira, Izabela Regina Cardoso de. "Modeling strategies for complex hierarchical and overdispersed data in the life sciences." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-12082014-105135/.

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In this work, we study the so-called combined models, generalized linear mixed models with extension to allow for overdispersion, in the context of genetics and breeding. Such flexible models accommodates cluster-induced correlation and overdispersion through two separate sets of random effects and contain as special cases the generalized linear mixed models (GLMM) on the one hand, and commonly known overdispersion models on the other. We use such models while obtaining heritability coefficients for non-Gaussian characters. Heritability is one of the many important concepts that are often quan

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Zahid, Saman. "Comparing Resource Abundance And Intake At The Reda And Wisla River Estuaries." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-172770.

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The migratory birds stop at different stopover sites during migration. The presence of resources in these stopover sites is essential to regain the energy of these birds. This thesis aims to compare the resource abundance and intake at the two stopover sites: Reda and Wisla river estuaries. How a bird's mass changes during its stay at an estuary is considered as a proxy for the resource abundance of a site. The comparison is made on different subsets, including those which has incomplete data, i.e. next day is not exactly one day after the previous capture. Multiple linear regression, Generali

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Hay, John Leslie. "Statistical modelling for non-Gaussian time series data with explanatory variables." Thesis, Queensland University of Technology, 1999.

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Villavicencio, Gastelu Joel [UNESP]. "Análise espacial do potencial fotovoltaico em telhados de residências usando modelagem hierárquica bayesiana." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/137801.

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Submitted by JOÉL VILLAVICENCIO GASTELÚ null (tear_295@hotmail.com) on 2016-03-30T17:36:01Z No. of bitstreams: 1 Dissertação_Rev1_13 - Joel Gastelu.pdf: 3335802 bytes, checksum: 93fbe0689da0072cc77a9120a8e24b02 (MD5)<br>Rejected by Juliano Benedito Ferreira (julianoferreira@reitoria.unesp.br), reason: Solicitamos que realize uma nova submissão seguindo as orientações abaixo: O arquivo submetido está sem a ficha catalográfica. A versão submetida por você é considerada a versão final da dissertação/tese, portanto não poderá ocorrer qualquer alteração em seu conteúdo após a aprovação. Cor

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Villavicencio, Gastelu Joel. "Análise espacial do potencial fotovoltaico em telhados de residências usando modelagem hierárquica bayesiana /." Ilha Solteira, 2016. http://hdl.handle.net/11449/137801.

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Orientador: Antônio Padilha Feltrin<br>Resumo: No presente trabalho tem-se como objetivo estimar o potencial fotovoltaico devido à instalação de sistemas fotovoltaicos em telhados de áreas residenciais. Na estimação desse potencial foram consideradas quatro grandezas: o nível de irradiação solar, a área aproveitável de telhado para a instalação dos sistemas fotovoltaicos, a eficiência de conversão dos sistemas fotovoltaicos e as probabilidades de instalação dos sistemas fotovoltaicos, que caracterizam as preferências dos habitantes à instalação desses sistemas. Um modelo hierárquico bayesiano

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Kuhnert, Petra Meta. "New methodology and comparisons for the analysis of binary data using Bayesian and tree based methods." Thesis, Queensland University of Technology, 2003.

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Abel, Leah A. "Development and maintenance of victimization associated with bullying during the transition to middle school: The role of school-based factors." Kent State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=kent1594745288709797.

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Sagara, Issaka. "Méthodes d'analyse statistique pour données répétées dans les essais cliniques : intérêts et applications au paludisme." Thesis, Aix-Marseille, 2014. http://www.theses.fr/2014AIXM5081/document.

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De nombreuses études cliniques ou interventions de lutte ont été faites ou sont en cours en Afrique pour la lutte contre le fléau du paludisme. En zone d'endémie, le paludisme est une maladie récurrente. La revue de littérature indique une application limitée des outils statistiques appropriés existants pour l'analyse des données récurrentes de paludisme. Nous avons mis en oeuvre des méthodes statistiques appropriées pour l'analyse des données répétées d'essais thérapeutiques de paludisme. Nous avons également étudié les mesures répétées d'hémoglobine lors du suivi de traitements antipaludique

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Mukherjee, Soumyadeep. "Antenatal Stressful Life Events and Postpartum Depression in the United States: the Role of Women’s Socioeconomic Status at the State Level." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2631.

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The purpose of this dissertation was to examine patterns of antenatal stressful life events (SLEs) experienced by women in the United States (U.S.) and their association with postpartum depression (PPD). It further explored the role of women's state-level socio-economic status (SES) on PPD; the racial/ethnic dispartites in SLE-PPD relationship; and the role of provider communication on perinatal depression. Data from 2009–11 Pregnancy Risk Assessment Monitoring System (PRAMS) and SES indicators published by the Institute of Women’s Policy Research (IWPR) were used. Latent class analysis (LCA)

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Hecht, Martin. "Optimierung von Messinstrumenten im Large-scale Assessment." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2015. http://dx.doi.org/10.18452/17270.

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Messinstrumente stellen in der wissenschaftlichen Forschung ein wesentliches Element zur Erkenntnisgewinnung dar. Das Besondere an Messinstrumenten im Large-scale Assessment in der Bildungsforschung ist, dass diese normalerweise für jede Studie neu konstruiert werden und dass die Testteilnehmer verschiedene Versionen des Tests bekommen. Hierbei ergeben sich potentielle Gefahren für die Akkuratheit und Validität der Messung. Um solche Gefahren zu minimieren, sollten (a) die Ursachen für Verzerrungen der Messung und (b) mögliche Strategien zur Optimierung der Messinstrumente eruiert werden. Desh

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Karimi, Maryam. "Modélisation conjointe de trajectoire socioprofessionnelle individuelle et de la survie globale ou spécifique." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS120/document.

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Appartenir à une catégorie socio-économique moins élevée est généralement associé à une mortalité plus élevée pour de nombreuses causes de décès. De précédentes études ont déjà montré l’importance de la prise en compte des différentes dimensions des trajectoires socio-économiques au cours de la vie. L’analyse des trajectoires professionnelles constitue une étape importante pour mieux comprendre ces phénomènes. L’enjeu pour mesurer l’association entre les parcours de vie des trajectoires socio-économiques et la mortalité est de décomposer la part respective de ces facteurs dans l’explication du

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Aljafary, Michelle. "Accounting for potential nonlinearity between catch and effort using meta-analysis and applying GLM and GLMM to fishing data from deployments of fixed and mobile gear." 2016. http://hdl.handle.net/1993/31208.

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My thesis examines nonlinearity between catch and effort. I use a meta-analysis of published literature and generalized linear mixed-effects models (GLMM) on both fixed and mobile gear fisheries of Atlantic Canada. The meta-analysis examines the proportionality of catch to effort using the slope of the reduced major axis (RMA) log-log regression, which accounts for “errors-in-variables”. The GLMMs explored proportionality while accounting for variation among fishing vessels. Both analyses found evidence for disproportionality between catch and effort. Catch that increases disproportionally to

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Gagnon, Jacob A. "A hierarchical spherical radial quadrature algorithm for multilevel GLMMs, GSMMs, and gene pathway analysis." 2010. https://scholarworks.umass.edu/dissertations/AAI3427529.

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The first part of my thesis is concerned with estimation for longitudinal data using generalized semi-parametric mixed models and multilevel generalized linear mixed models for a binary response. Likelihood based inferences are hindered by the lack of a closed form representation. Consequently, various integration approaches have been proposed. We propose a spherical radial integration based approach that takes advantage of the hierarchical structure of the data, which we call the 2 SR method. Compared to Pinheiro and Chao’s multilevel Adaptive Gaussian quadrature [37], our proposed method has

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Chen, Hsiang-Chun. "Inference for Clustered Mixed Outcomes from a Multivariate Generalized Linear Mixed Model." Thesis, 2013. http://hdl.handle.net/1969.1/151145.

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Multivariate generalized linear mixed models (MGLMM) are used for jointly modeling the clustered mixed outcomes obtained when there are two or more responses repeatedly measured on each individual in scientific studies. The relationship among these responses is often of interest. In the clustered mixed data, the correlation could be present between repeated measurements either within the same observer or between different observers on the same subjects. This study proposes a series of in- dices, namely, intra, inter and total correlation coefficients, to measure the correlation under variou

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Binici, Salih. "Random-effect differential item functioning via hierarchical generalized linear model and generalized linear latent mixed model a comparison of estimation methods /." 2007. http://etd.lib.fsu.edu/theses/available/etd-05082007-190825.

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Thesis (Ph. D.)--Florida State University, 2007.<br>Advisor: Akihito Kamata, Florida State University, College of Education, Dept. of Educational Psychology and Learning Systems. Title and description from dissertation home page (viewed Sept. 19, 2007). Document formatted into pages; contains xiii, 175 pages. Includes bibliographical references.

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CHIANG, HSIEN-YU, and 蔣賢煜. "Association Analysis for Juvenile Misbehavior :Application of Generalized Linear Mixed Model." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/av353m.

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碩士<br>東吳大學<br>數學系<br>102<br>The focus of this study is to explore factors contributing to juvenile’s misbehavior. Based on the literature, the analysis was performed by considering seven variables from the categories of family, school, friends, and urbanization. These variables are significant in the univariate analysis. The use of student samples is known to produce estimation errors caused by the cluster effect. Lin (2008) and Clark(2007) have shown using “school” as a fixed effect in the model can solve problems of estimation error. In contrast, Clarke (2010) demonstrated that employing “sc

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QUAGLIETTA, LORENZO. "Ecologia e comportamento della lontra eurasiatica (Lutra lutra) in un'area mediterranea (Alentejo, Portugal)." Doctoral thesis, 2012. http://hdl.handle.net/11573/918729.

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Despite being a highly studied carnivore, the Eurasian otter (Lutra lutra) still offers the opportunity to explore many aspects of its ecology and behaviour that are poorly known or have only been investigated in temperate areas. From April 2007 to October 2010, the OPA research project (Otter Project in Alentejo) was conducted in the south-central Alentejo region of Portugal, in an area of roughly 800 km2. Through the capture and subsequent radio-tracking of 16 wild Lutra lutra individuals (9 males and 7 females) for an average of 139 radio-locations per animal (about 126 days), together wit

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Elmasri, Mohamad. "A Skew-Normal Copula-Driven Generalized Linear Mixed Model for Longitudinal Data." Thesis, 2012. http://spectrum.library.concordia.ca/973992/1/Elmasri_MSc_S2012.pdf.

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Using the advancements of Arellano-Valle et al. [2005], which characterize the likelihood function of a linear mixed model (LMM) under a skew-normal distribution for the random effects, this thesis attempt to construct a copula-driven generalized linear mixed model (GLMM). Assuming a multivariate distribution from the exponential family for the response variable and a skew-normal copula, we drive a complete characterization of the general likelihood function. For estimation, we apply a Monte Carlo expectation maximization (MC-EM) algorithm. Some special cases are discussed, in particular, th

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Tsai, Fang-Yu, and 蔡芳榆. "Estimating Control Rates of Three Different Insecticides by Generalized Estimating Equation and Generalized Linear Mixed Model." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/05460098030021084419.

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碩士<br>國立臺灣大學<br>農藝學研究所<br>93<br>The aim of this study is to estimate the control rate of three bait-formulated insecticides of red imported fire ants. Two field experiments were conducted, respectively, in Taoyuan and Chiayi county where the red ant infestation were spotted and the three different insecticides applied are Fipronil, Pyripronxyfen and Spinosyns. Repeated counts of ant mound number in each field plot of size 100 $m^2$ were recorded by the researchers in the local agricultural experimental station during the period of eight weeks. Two statistical procedures were employed to analy

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Chen, Nai-Wei. "Goodness-of-Fit Test Issues in Generalized Linear Mixed Models." Thesis, 2011. http://hdl.handle.net/1969.1/ETD-TAMU-2011-12-10504.

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Linear mixed models and generalized linear mixed models are random-effects models widely applied to analyze clustered or hierarchical data. Generally, random effects are often assumed to be normally distributed in the context of mixed models. However, in the mixed-effects logistic model, the violation of the assumption of normally distributed random effects may result in inconsistency for estimates of some fixed effects and the variance component of random effects when the variance of the random-effects distribution is large. On the other hand, summary statistics used for assessing goodness of

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Lin, Chi-Chen, and 林其臻. "Applications of linear mixed model and generalized estimating equation to biological control data." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/99609338700121243103.

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碩士<br>國立臺灣大學<br>農藝學研究所<br>96<br>Longitudinal data can be obtained by observing same object at different time. So the observations are not indepedent with each other.In drug experiment,observations on the reactions of the same patient at different time are not mutually independent. In agriculture,the effect of fertilizers or insecticides can be treated as longitudinal data too, especially for perennial crops. Because of the existence of correlations between observations,it is not appropriate to use general regression analysis or ANOVA.Linear mixed model and generalized estimating equation are

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McIntosh, Avery Isaac. "Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission." Thesis, 2017. https://hdl.handle.net/2144/22451.

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Understanding tuberculosis transmission is vital for efforts at interrupting the spread of disease. Household contact studies that follow persons sharing a household with a TB case—so-called household contacts—and test for latent TB infection by tuberculin skin test conversion give investigators vital information about risk factors for TB transmission. In these studies, investigators often assume secondary cases are infected by the primary TB case, despite substantial evidence that infection from a source outside the home is often equally likely, especially in high-prevalence settings. Investi

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Yu, Chia-Lun, and 余佳倫. "On the Estimation Methods for the Generalized Linear Mixed Effect Model with Measurement Error." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/52245028576933214937.

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碩士<br>淡江大學<br>數學學系碩士班<br>100<br>When the measurement error and mixed effect appear in the model at the same time, we can not find much discussion on the literature. The main reason is that the marginal distribution of the integral to the random effect is no longer a generalized linear model. This paper discussed the estimated method between measurement error and mixed effect in the log-linear and logistic model. In the log-linear model, the estimation method usually included naive, regression calibration, simulation extrapolation, small measurement error approximation, and there is another est

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Li, Erning. "Estimation for generalized linear models when covariates are subject-specific parameters in a mixed model for longitudinal measurements." 2004. http://www.lib.ncsu.edu/theses/available/etd-05072004-023712/unrestricted/etd.pdf.

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"Optimal Experimental Designs for Mixed Categorical and Continuous Responses." Doctoral diss., 2017. http://hdl.handle.net/2286/R.I.45584.

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abstract: This study concerns optimal designs for experiments where responses consist of both binary and continuous variables. Many experiments in engineering, medical studies, and other fields have such mixed responses. Although in recent decades several statistical methods have been developed for jointly modeling both types of response variables, an effective way to design such experiments remains unclear. To address this void, some useful results are developed to guide the selection of optimal experimental designs in such studies. The results are mainly built upon a powerful tool called the

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Siegle, Micha Benjamin. "Einfluss von transkraniellen Wechselstromstimulationen im Thetabereich auf die Bearbeitung der Stroop-Aufgabe." Doctoral thesis, 2021. http://hdl.handle.net/21.11130/00-1735-0000-0005-15A1-D.

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