Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 53 for “"Generalized linear mixed models."”.
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Conjugate generalized linear mixed models with applications
… thesis focuses on the development of conjugate generalized linear mixed models (CGLMMs), which is a computationally efficient modelling framework for longitudinal and multilevel data where the likelihood can be expressed in closed-form. We focus on the scenario where the random effects are …
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Likelihood Theory and Methods for Generalized Linear Mixed Models
Generalized linear mixed models are an essential group of models for analysing many present-day complex data sets, especially those that contain non-normal and correlated response data. Despite the large volume of research concerning this group of models, there is very little theory concerning the …
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GOODNESS OF FIT TESTS FOR GENERALIZED LINEAR MIXED MODELS
Generalized Linear mixed models (GLMMs) are widely used for regression analysis of data, continuous or discrete, that are assumed to be clustered or correlated. Assessing model fit is important for valid inference. We therefore propose a class of chi-squared goodness-of-fit tests for GLMMs. Our …
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Clustering Profiles in Generalized Linear Mixed Models Settings Using Bayesian Nonparametric Statistics
Generalized linear mixed models are used to model clustered and longitudinal data in which the distribution of the response variable is a member of the exponential family. This thesis introduces a novel method for simultaneous clustering of such data and estimation of parameters of the underlying …
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Missing Responses in Generalized Linear Mixed Models Where the Missingness is Nonignorable
… methods for analyzing incomplete data using generalized linear mixed models (GLMMs). GLMMs are widely used in clustered and longitudinal data analyses, where random effects are used to model subject or cluster specific effects. We review algorithms for finding the ML estimators in GLMMs with …
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Variable selection for generalized linear mixed models and non-Gaussian Genome-wide associated study data
Genome-wide associated study (GWAS) aims to identify associated single nucleotide polymorphisms (SNP) for phenotypes. SNP has the characteristic that the number of SNPs is from hundred of thousands to millions. If p is the number of SNPs and n is the sample size, it is a p>>n variable selection …
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Mixture Modeling for Multivariate Observations
… to extend the application of these mixture models to estimate nonparametrically a multivariate distribution. The major difficulty with the likelihood approach that is associated with the estimation of these mixtures in the multivariate case is that the likelihood function cannot be maximized …
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Poisson regression models for interval censored count data.
In this dissertation, we develop Bayesian models for interval censored Poisson counts in the presence of zero inflation and missing data. As a motivating example, we consider data arising from a Human Immunodeficiency Virus (HIV) vaccine trial featuring imprecise counts, missing data, and an …
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Variational Approximation for Complex Regression Models
… has resulted in the need for more flexible models and fast computational approximations. My thesis reflects these themes by considering some very flexible regression models and developing fast variational approximation methods for fitting them under a Bayesian framework. Models considered …
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The relationship between participation in different types of training programs and gainful employment of formerly incarcerated individuals
… programs, and post-employment training programs. Generalized linear mixed models are used to determine if each type of training is related to employment status and income. Based on a sample from the National Longitudinal Survey of Youth 1997 (NLSY97), post-employment training programs are …
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WOODLAND CARIBOU AS ECOLOGICAL DRIVERS OF FIR WITCHES' BROOM INFECTIONS ON THE SLATE ISLANDS
… forests with minimal caribou influence. I used generalized linear mixed models to examine the relationship between broom infections and biotic and physiographic variables. The best model included habitat type, distance to chickweeds, their interaction, slope aspect, and total solar radiation. …
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Air-breathing and movement ecology of Arapaima sp. in the Amazon
… ecology of arapaima in the Central Amazon. Generalized additive mixed models showed that temperature was the most influential predictor of air-breathing intervals, followed by body size. The shortest breathing intervals were associated with consecutive "aggressive" breaths while the longest …
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Bayesian spatial models for adjusting nonresponse in small area estimation
… is used to illustrate our approaches. We build generalized linear mixed models in a Bayesian hierarchical spatial modeling framework to estimate response rates and conditional satisfaction rates given response or nonresponse simultaneously at sub-domain level. One model also includes auxiliary …
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Spatio-Temporal Vegetation Change as related to terrain factors at two Glacier Forefronts, Glacier National Park, Montana
… biophysical correlates of change, we used generalized linear mixed models with non-vegetated surfaces to vegetation (code=1) or stable non-vegetation class (code=0) as a binary response variable. Results revealed elevation, slope, TWI, geology, and aspect to be associated with increased …
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Population Structure and Biophysical Density Correlates of Whitebark Pine (Pinus albicaulis) at Two Treelines in the Northern Rocky Mountains
… structure between sites, and developed generalized linear mixed models to assess correlations between whitebark pine density and biophysical site variables. The results demonstrate that despite very different ecosystems and blister rust infection rates, our two study sites have similar …
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Examining Individual Identity in Beluga Whale (Delphinapterus leucas) Acoustic Repertoires as a Function of Call Type
… approaches toward the speaker and analyzed with generalized linear mixed models. Complex contact calls and biphonated pulsed tonals elicited significant habituation-dishabituation patterns, while biphonated r-shaped whistles trended toward significance. Simple contact calls and flat whistles did …
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Effects of Infanticide Risk and Timber Harvest on American Black Bear Space Use
… by infanticide risk and timber harvest. I used generalized linear mixed models (GLMM) to determine if female American black bear (<em>Ursus americanus</em>) space use was consistent with avoidance behavior to reduce infanticide risk in the Upper Peninsula of Michigan during the 2009–2011 and …
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Mommy Issues: Do Differential Rearing Histories Affect the Social Behavior of Captive Chacma Baboons (<i>Papio ursinus</i>)
… I used a David’s Score to assess rank and generalized linear mixed models to assess the effects that rearing history, rank, sex, age, and presence of kin in the troop, have on each individual’s behaviors. I found no difference in rank between rearing history. Moreover, rearing history did …
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Alcohol use as a risk factor for bidirectional intimate partner violence among college students: Results from a daily diary study
… use, NA, and IPV perpetration and victimization. Generalized linear mixed models (GLMMs) tested the within- and between-person associations and interactions between alcohol use, NA, and psychological and physical unidirectional and bidirectional IPV. Results. A significant interaction between NA …
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