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 30 for “"GLMM"”.
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A GLMM analysis of data from the Sinovuyo Caring Families Program (SCFP)
… Generalized linear Mixed Effect Models (GLMMs) were used to assess the impact of the intervention program on the responses, adjusted for possible confounding variables. These summed scores were often right skewed with zero-inflation. All the effects (fixed and random) were estimated …
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Semiparametric Methods for the Generalized Linear Model
… function in the generalized linear mixed model (GLMM) assuming that the random component is following a parametric distribution. In the first part of this dissertation, since most of the literature on the GLM deals with the parametric random component, we relax the parametric distribution …
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Fixed versus Mixed Parameterization in Logistic Regression Models: Application to Meta-Analysis
… (GLM), random intercept generalized mixed model (GLMM), and conditional logistic regression (clogit) are compared in a meta-analysis of 43 studies assessing the effect of diet on cancer incidence in rats. We also perform simulation studies to assess distributional behavior of regression estimates …
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Regression Models for Paired Comparisons
… is based on the Generalized Linear Mixed Model (GLMM) and it characterizes paired comparison models according to four characteristics, taken in order: (1) the response format, (2) the link function, (3) the error distribution, and (4) the mixing distribution. It expresses the scaling problem as a …
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Mother-Infant Interactions in a Free-Ranging Population of Pigtail Macaques (Macaca nemestrina)
… showed significant negative correlations. A GLMM of mother permissive behavior as the outcome variable only showed infant age as a significant predictor variable. From the infant’s perspective, as infants increased in age, mother-infant contact duration showed a significant negative …
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Effects of Infanticide Risk and Timber Harvest on American Black Bear Space Use
… 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 2013–2014 breeding seasons. Females …
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The Effects of Health-Related Fitness on School Attendance in New York City 6th-8th Grade Youth
… cross-sectional Generalized Linear Mixed Model (GLMM) was used to assess the extent of school-level clustering in attendance, and determine the variation in student attendance accounted for by school-area poverty. A 3-level longitudinal adjusted GLMM, overall and stratified by gender, was used to …
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Bayesian analysis for categorical survey data
… sampling design, that produces the Multinomial GLMM and issues such as model comparison and model averaging are also discussed. The methodology is applied in a true dataset and estimates for population counts are obtained
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An ecological adjusted random effect model for violent and property crime in Windhoek (2011-2016)
… 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 Windhoek police over the period of six …
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Spatial regression methods capture prediction uncertainty in species distribution model projections through time
… of this bias. Generalized linear mixed models (GLMM) have the ability to account for SAC through the inclusion of a spatially structured random intercept, interpreted to account for the effect of missing predictors. This framework promises a more realistic representation of parameter and …
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Spatial regression methods capture prediction uncertainty in species distribution model projections through time
… of this bias. Generalized linear mixed models (GLMM) have the ability to account for SAC through the inclusion of a spatially structured random intercept, interpreted to account for the effect of missing predictors. This framework promises a more realistic representation of parameter and …
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Choosing Between the Fixed-, Random-, and Mixed-Effects Model in Meta-Analysis: An Analysis of Existing and New Model Selection Methods
… cases of the general linear mixed-effects model (GLMM), allowing the application of the general GLMM theory to meta-analytic models. Second, five heterogeneity estimators are examined in terms of their bias, variance, and mean-squared error. Third, four different homogeneity tests are examined in …
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The creation of novel methodologies to examine the effects of phosphorus amendments on petroleum hydrocarbon bioremediation
… 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 (18O)-phosphate to monitor soil P …
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Biotic and Abiotic Factors of Picea rubens (Red Spruce) Seedling Regeneration in Disturbed Heathland Barrens of the Central Appalachians
… using a generalized linear mixed model (GLMM) to identify the most significant biophysical variables related to P. rubens count. In the paired plots, I used the relative interactions index (RII) to compare the total cover of each present non-graminoid vascular species and the grouped …
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Factores de riesgo multiniveles asociados con el embarazo adolescente: un contraste entre Honduras y República Dominicana
… multinivel modelo mixto lineal generalizado (GLMM) de dos niveles, individual y regional, para Honduras y República Dominicana. La comparación de las estimaciones entre República Dominicana y Honduras muestra que el nivel económico del hogar, la diferencia de edad con la pareja, y un inicio …
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Missing Responses in Generalized Linear Mixed Models Where the Missingness is Nonignorable
… 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 nonignorable missing responses. …
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Reproductive success of a generalist brood parasite predicts the rate of parasitism in the subsequent year
… 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 covariates. From one year to …
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Racing patterns of elite and non-elite male Two Oceans marathon runners
… A Generalised Linear Mixed Effects Model (GLMM) analysis was used to examine the patterns of average pace change between groups. Results: A reduction in average pace was observed across all groups for the first three segments, with an increase in average pace for the final segment …
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Use of National Electronic Health Record (EHR) Data Warehouse to Identify Inappropriate HbA1c Orders for Sickle cell Disease Patients
… 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 percentage of sickle cell patients with HbA1c tests when compared to the …
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Quality of life and healthcare utilization and costs among adults with autism
… of autism and generalized linear mixed models (GLMM) were used to determine the predictors of healthcare utilization and costs among adults with autism. RESULTS The survey sample included 265 adults with autism. Based on the CFA analysis for objective one, the second-order hierarchical model of …
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