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 “"Dynamic covariates"”.
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Statistical Modeling and Predictions Based on Field Data and Dynamic Covariates
… mixed-effects general path model to incorporate dynamic covariates into degradation data analysis. Dynamic covariates include time-varying environmental variables and usage condition. The shapes of the effect functions of covariates may be constrained to be, for example, monotonically increasing …
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Dynamic models for time-varying outcomes: An application to the 2015-2017 patient cohort on antiretroviral therapy at Luderitz hospital, Namibia
… for data missingness and measurement error using dynamic models, with application to a cohort of 154 adult patients initiated on ART between January 2015 and December 2017 at the Luderitz hospital. The outcome variable of this study was viral load which was measured at scheduled follow-up visits …
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The Advancements on the Interface of Statistical Computing, Survival Analysis, and Degradation Analysis
… multiple degradation characteristics (DCs) and dynamic covariates. A nonlinear general path model with random effects is employed to capture the data's complexity. A Bayesian framework helps solve the estimation difficulties in the model. Subsequently, Markov Chain Monte Carlo (MCMC) is employed …
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Novel Statistical Methods for Multiple-variant Genetic Association Studies with Related Individuals
… Also, repeated measurements of phenotype and dynamic covariates from longitudinal studies bring in more opportunities but also challenges in the discovery of disease-related genetic factors. This dissertation focuses on developing novel statistical methods to address some challenging questions …
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Statistical Predictions Based on Accelerated Degradation Data and Spatial Count Data
… model is then extended to allow for time-varying covariates and is used to predict outdoor degradation where the explanatory variables are time-varying. Chapter 3 introduces a class of models for analyzing degradation data with dynamic covariate information. We use a general path model with random …
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Estimating provisional causal treatment effects on reoffending for binary and multiple treatments using quasi-experimental methods for people in prison with an alcohol use disorder in England
… weights (derived from a one-to-one matching) as covariates as recommended by Austin (2010). Four regression-based treatment effect estimators were deployed to compare the effectiveness of the three treatment groups compared to controls. The analysis was supplemented by qualitative interviews with …