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You are viewing titles for UNIVERSITY OF CALIFORNIA BERKELEY in the Biostatistics available through the UMI Dissertations & Thesis Gradwoorks site
 
Topics in causal inference: Analyzing psychotherapy outcome studies, convex-combination estimators, and G-computation model selection
 Statistical methods in integrative analysis of gene expression data with applications to biological pathways
 
Statistical methods for complicated current status and high-dimensional data structures with applications in environmental epidemiology
 Finding DNA cis-regulatory elements using linear models
 
Fighting the curse of dimensionality: A method for model validation and uncertainty propagation for complex simulation models
 Optimization studies with multiple testing, loss-based estimation, and confidence intervals for negative binomials of high dispersion
 
Statistical analysis of DNA sequence motifs and microarray data
 Transcriptome detection by multiple RNA tiling array analysis and identifying functional conserved non-coding elements by statistical testing
 
Statistical topics in gene regulation
 Multiple hypothesis testing: Methodology, software implementation, and applications to genomics
 
A comparison of adaptive methods for the analysis of clinical trials: A Bayes-ide window into some frequent-ly underutilized methods for clinical trials analysis
 Applications of double robustness
 
Statistical problems in DNA microarray data analysis
 Statistical analysis of microarray data---topics in gene expression
 
Analyses of high-throughput gene expression data
 Statistical methods and software for high-throughput gene expression experiments
 
Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology
 Semi-parametric graphical computation approach using loss-based estimation to estimate exposure effects: Applications on infant developmental outcomes
 
Statistical modeling with counts of bats
 Targeted maximum likelihood estimation techniques for time to event data and the implications of coarsening an explanatory variable of interest via dichotomization in the context of causal inference in semi-parametric models
 
An Analysis of the Distribution of Genotypes for a Recent Model in Population Genetics
 Finding Genes Related to Disease Using Statistical Learning
 
Algorithms for Human Genetics
 Applications of Semi-parametric Estimation Methods in Causal Inference and Prediction
 
Topics in Current Status Data
 Using the Birth-Death Process to Infer Changes in the Pattern of Lineage Gain and Loss
 
Collaborative Targeted Maximum Likelihood Estimation
 Semi-parametric estimation of direct and indirect effects in the COMBINE (Combining Medications and Behavioral Interventions for Alcoholism) Study
 
Targeted Minimum Loss Based Estimation for Longitudinal Data
 Causal Inference and Prediction in Health Studies: Environmental Exposures and Schistosomiasis, HIV-1 Genotypic Susceptibility Scores and Virologic Suppression, and Risk of Hospital Readmission for Heart Failure Patients