ProQuest Subject Index - Biostatistics at UNIVERSITY OF CALIFORNIA, BERKELEY

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You are viewing titles for UNIVERSITY OF CALIFORNIA, BERKELEY in the subject Biostatistics available through the UMI Dissertations & Thesis Gradworks site.

A methodological approach to multiple-type human papillomavirus infections	Data-adaptive estimation in causal inference for point treatment study

Data-adaptive prediction with the deletion/substitution/addition algorithm	Finding DNA cis-regulatory elements using linear models

Multivariate empirical Bayes models for replicated microarray time course data	Optimization studies with multiple testing, loss-based estimation, and confidence intervals for negative binomials of high dispersion

Problems in survival analysis with application to analysis of HIV and SARS data	Statistical analysis of DNA sequence motifs and microarray data

Statistical complications of infectious disease data: Causal inference, multiple testing and machine learning	Statistical hypothesis testing and application to biological data

Statistical methods for complicated current status and high-dimensional data structures with applications in environmental epidemiology	Statistical methods for elucidating DNA motifs and modules

Statistical methods for evaluating linkage disequilibrium and its patterns using length of haplotype sharing	Statistical methods for neutral and adaptive genetic variation in continuous isolation-by-distance models

Statistical methods in integrative analysis of gene expression data with applications to biological pathways	Topics in causal inference: Analyzing psychotherapy outcome studies, convex-combination estimators, and G-computation model selection

Transcriptome detection by multiple RNA tiling array analysis and identifying functional conserved non-coding elements by statistical testing