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 36 for “"Generalized Linear Mixed Model"”.
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The Generalized Linear Mixed Model for Finite Normal Mixtures with Application to Tendon Fibrilogenesis Data
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. …
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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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An ecological adjusted random effect model for violent and property crime in Windhoek (2011-2016)
… analysed using Zero-Inflated Negative Binomial Generalized Linear Mixed Model (ZTNB-GLMM) when observations are correlated in ways that require random effects. The present study investigates ecological factors influencing Violent and Property crime in Windhoek by using data obtained from the …
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An analysis of the relationship between alcohol availability and alcohol-related hospital admissions in the city of Chicago, 1990--1997
… control for individual level characteristics, a generalized linear mixed model was fit using Markov Chain Monte Carlo. The likelihood of a hospital admission being alcohol related was higher in neighborhoods with a greater number of alcohol outlets. These findings suggest that increased …
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Statistical methods for outcome misclassification adjustment in causal inference and spatial classification.
… a gold-standard device is not available. Spatial generalized linear mixed model (SGLMM) and indicator kriging (IK) are applied to spatial classification at unsampled locations. In a Bayesian perspective, we propose two-stage methods incorporating validation data into prior elicitation. The …
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Generalized Linear Mixed Proficiency Models for Cognitive Diagnosis
Models for cognitive diagnosis combine discrete latent trait models with constrained latent class analysis, allowing the user to diagnosis the set of abilities an examinee may possess. Following a review of relevant cognitive diagnosis models and commonly used methods of estimation, implementation …
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Regression Models for Paired Comparisons
… employed in the middle of the 19th Century, many models have been developed over the years to analyze data from such experiments, for instance the Thurstone and Bradley-Terry-Luce models. This dissertation proposes an integrative framework in which the vast majority of extant scaling procedures …
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The Influence of Heterogeneous Landscapes on Banded Mongoose (Mungos mungo) Behavior in Northern Botswana: Inferences about Infectious Disease Transmission
… data from remote sensing camera traps, a generalized linear mixed model identified vigilance behavior, land use, and their interaction as important factors in predicting olfactory behavior. Cluster and Classification and Regression Tree (CART) analysis of active den sites (n= 308, across …
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Power and Sample Size for Three-Level Cluster Designs
… more than one intracluster correlation into the model. Second, the variance structure of the estimated treatment difference is more complicated. Third, sample size results required for several levels are needed. In this work, we developed sample size and power formulas for the three-level data …
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Bayesian analysis of spatial and survival models with applications of computation techniques
… methodologies of applying Bayesian hierarchical models to different data with geographical characteristics or with right-censored failure time. A conditional autoregressive (CAR) prior is used for the model to capture spatial effects. Markov chain Monte Carlo (MCMC) methods are used in the …
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Reproductive success of a generalist brood parasite predicts the rate of parasitism in the subsequent year
… in southern Illinois. Data were analyzed using a generalized linear mixed model (GLMM) with binomial distribution. We accounted for variation in site, nest box, identity of female warbler, and year in our analysis as random effects and included month and the parasitism rate in the previous year as …
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Biological Control Agent Rhizobium vitis, ARK-1 Reduces Incidence and Severity of Grapevine Crown Gall in Virginia
… were measured. Analysis was conducted with the generalized linear mixed model (GLIMMIX) in SAS (ver. 9.4). ARK-1 significantly reduced both the mean probability of gall formation and the mean gall size (P < 0.05). ARK-1 efficacy against combinations of two or four tumorigenic isolates and up to …
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Data combining using mixtures of g-priors with application on county-level female breast cancer prevalence
… errors. In the first project, data combining of linear models with the classical mixtures of g-priors is investigated. We calculate and compare the posterior estimates and the frequentist properties of the Bayesian estimator from the model with individual and combined data. To resolve the newly …
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Crash Risk and Mobile Device Use Based on Fatigue and Drowsiness Factors in Truck Drivers
… bins of hours for more specific information. A generalized linear mixed model and chi-square test were used to assess MDU for each factor and the associated bins. Results indicated visually demanding subtasks were associated with an increase in SCE risk, but conversation on a hands-free cell …
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White-tailed deer hunting and habitat use in Robert Allerton Park
… floodplain forest and developed land using a generalized linear mixed model. Annual counts were categorized into two periods: no deer removal (1988-2004) and deer removal (2005-2015). Second, I used Moran’s I spatial autocorrelation measures to evaluate annual changes in deer clustering. To …
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Impact of a Digital Pharmacy on Medication Adherence, Clinical Outcomes, and Healthcare Utilization
… and healthcare utilization were each fit with a generalized linear mixed model with identified confounding variables and an interaction between group and time. The relationship between usability and change in medication adherence was examined with the generalized linear model. Results: A total of …
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HIERARCHICAL BAYES ESTIMATION AND EMPIRICAL BEST PREDICTION OF SMALL-AREA PROPORTIONS
… order to provide precise estimates, a variety of model-dependent techniques, using Bayesian and frequentist approaches, have been developed. Among those, empirical best prediction (EBP) and hierarchical Bayes (HB) methods relying on mixed models have been considered for estimating small area …
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Seasonal Microhabitat Use of Young-of-the-Year Bull Trout, Salvelinus Confluentus, in a Drought Year
… margins with little or no detectable flow. A generalized linear mixed model was developed to predict the probability of presence of YOY bull trout in response to microhabitat variables. Overall, YOY bull trout in Gold Creek were shown to have very specific habitat requirements relative to the …
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Use of National Electronic Health Record (EHR) Data Warehouse to Identify Inappropriate HbA1c Orders for Sickle cell Disease Patients
… national facilities in the data warehouse. The linear unbiased percentages estimated from the Generalized Linear Mixed Model (GLMM) was used to rank the TMC with other national hospitals based on the percentage of sickle cell patients with inappropriate HbA1c test. TMC had a significantly higher …
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The creation of novel methodologies to examine the effects of phosphorus amendments on petroleum hydrocarbon bioremediation
… methods, including analytical techniques and a generalized linear mixed model (GLMM), were created to investigate amendment fate and efficiency. The initial two studies focused on improving P analytical investigations. The first experiment created a stable isotope probing method using labelled …
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