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 9 of 9 for “"Generalized linear mixed model (GLMM)"”.
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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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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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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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Biotic and Abiotic Factors of Picea rubens (Red Spruce) Seedling Regeneration in Disturbed Heathland Barrens of the Central Appalachians
… a DEM, formed the basis of my assessment 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 …
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Semiparametric Methods for the Generalized Linear Model
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 …
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The Effects of Health-Related Fitness on School Attendance in New York City 6th-8th Grade Youth
… n=349,381). A 2-level 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 …
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The use of right of ways by primary burrowing crayfishes in the Ouachita Mountains Ecoregion of Arkansas
… and tested computer generated habitat models for these two species in the Ouachita Mountains Ecoregion (OME) of western Arkansas in the spring of 2014 and 2015. My first objective was to determine the fine-scale habitat preferences of F. harpi and P. reimeri in relation to their …
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GEOGRAPHIC DATA MINING AND GEOVISUALIZATION FOR UNDERSTANDING ENVIRONMENTAL AND PUBLIC HEALTH DATA
… used included the ordinary least square (OLS) model, the spatial generalized linear mixed model (GLMM), Kulldorff's Scan space-time analysis, and the spatial interpolation techniques (inverse distance weighting). The three main findings for this study are: first, among the four algorithms ALK, …