ProQuest Subject Index - Biostatistics at THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL

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You are viewing titles for THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL in the Biostatistics available through the UMI Dissertations & Thesis Gradwoorks site

A test for detecting space-time clustering and a comparison with some existing methods	Resampling-based tests of functional categories in gene expression studies

Methods for strengthening the design and analysis of clinical trials to show non-inferiority of a new treatment to a reference treatment for a binary response variable	Bayesian model-based methods for the analysis of DNA microarrays with survival, genetic, and sequence data

Bayesian latent variable methods for longitudinal processes with applications to fetal growth	Statistical methods for case-control and case-cohort studies with possibly correlated failure time data

Statistical aspects of haplotype-based association studies	Accounting for bias and uncertainty in power for multivariate Gaussian linear models

Operating characteristics of group testing algorithms for case identification in the presence of test error	Multiple testing in genome-wide studies

Fixed effects inference for clustered data in Gaussian linear models	Use of R2 statistics for assessing goodness-of-fit and model selection in the Linear Mixed Model for longitudinal data

An internal pilot study with interim analysis for Gaussian linear models	Fast Bayesian methods for genetic mapping applicable for high-throughput datasets

Data representation and basis selection to understand variation of function valued traits	Bayesian density regression and predictor-dependent clustering

Diagnostic measures for missing covariate data and semiparametric models for neuroimaging	Nonparametric Bayesian inferences on predictor-dependent response distributions

Statistical theory and robust methodology for nonlinear models with application to toxicology	The analysis and advanced extensions of canonical correlation analysis

Model checking and prediction with censored data	Bayesian influence diagnostic methods for parametric regression models

Variable selection for models with missing data	Novel statistical methods for the study design and analysis of genome-wide association studies

The single-index hazards model	Principal component analysis in high dimensional data: Application for genomewide association studies

Design considerations for complex survival models	Enhancing drug safety through active surveillance of observational healthcare data

Estimating Equations Approaches to Nuisance Parameters and Outcome-Dependent Sampling Problems for Marginal Regression Models and Generalized Linear Mixed Models When Outcomes Are Correlated	Dose-finding designs for Phase II clinical trials

Methods and Approaches for Evaluating the Validity of Latent Class Models with Applications	Estimation and testing of parameters under constraints for correlated data

Bayesian Analysis of Varying Coefficient Models and Applications	Some contributions to high dimensional statistical learning

Properties of an R2 statistic for fixed effects in the linear mixed model for longitudinal data	Semi-Markov multi-state modeling of human papillomavirus

Model-based approaches to multiple hypothesis testing for RNA-seq and other genomic platforms	Estimation Methods for Data Subject to Detection Limits

Statistical Methods for Analysis of Genetic Data	Missing data in non-parametric tests of correlated data

Vertical Integration of Multiple High-Dimensional Datasets	Functional data analytic inference for systems governed by differential equations with applications

Bayesian nonparametric methods for conditional distributions