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 6 of 6 for “"Nonlinear mixed-effects model"”.
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Bayesian Approach Dealing with Mixture Model Problems
… focus on two research topics related to mixture models. The first topic is Adaptive Rejection Metropolis Simulated Annealing for Detecting Global Maximum Regions, and the second topic is Bayesian Model Selection for Nonlinear Mixed Effects Model. In the first topic, we consider a finite mixture …
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Statistical modeling of protein lysate array data
… develop a multi-step procedure for the Sigmoidal models, ensuring consistent estimation of the concentration level with full asymptotic efficiency. The results obtained in this chapter justify inferential procedures based on large-sample approximations. Simulation studies and real data analysis …
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Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data
… In Chapter 2, we identify a physically motivated nonlinear mixed-effects model, including the effects of environmental variables, to describe the degradation path. Unit-to-unit variabilities are modeled as random effects. The maximum likelihood approach is used to estimate parameters based on the …
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Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data
… important but challenging issues in this thesis: mixed-effect modeling with unspecified random effects and correlation structure selection for high-dimensional data. In longitudinal studies, mixed-effects models are important for addressing subject-specific effects. However, most existing …
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THE IMPACT OF CYP3A4*22 AND CYP3A5*3 ON DEXAMETHASONE AND 6-HYDROXY-DEXAMETHASONE PHARMACOKINETICS IN PHASE 1/2 CANCER PATIENTS
… and 50-fold ranges, respectively. A population nonlinear mixed effects model was developed, and the CYP3A4*22 and CYP3A5*3 genotypes were evaluated as covariates to quantify their impact on drug and metabolite disposition. Six (6.4%) patients were determined to carry the CYP3A4*22 T allele, and …
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Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates
… This dissertation focuses on statistical modeling and predictions based on lifetime data, degradation data, and recurrent event data. The datasets used in this dissertation come from the field, and have complicated structures. The dissertation consists of three main chapters, in addition …