Browsing Faculty of Arts and Sciences by Keyword "biostatistics"
Now showing items 1-16 of 16
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Contributions to Imputation Methods Based on Ranks and to Treatment Selection Methods in Personalized Medicine
(2013-02-14)The chapters of this thesis focus two different issues that arise in clinical trials and propose novel methods to address them. The first issue arises in the analysis of data with non-ignorable missing observations. The ... -
Egocentric Social Network Structure, Health, and Pro-Social Behaviors in a National Panel Study of Americans
(Public Library of Science, 2012)Using a population-based, panel survey, we study how egocentric social networks change over time, and the relationship between egocentric network properties and health and pro-social behaviors. We find that the number of ... -
Enhancing Statistician Power: Flexible Covariate-Adjusted Semiparametric Inference for Randomized Studies with Multivariate Outcomes
(2012-08-23)It is well known that incorporating auxiliary covariates in the analysis of randomized clinical trials (RCTs) can increase efficiency. Questions still remain regarding how to flexibly incorporate baseline covariates while ... -
Estimating Network Features and Associated Measures of Uncertainty and Their Incorporation in Network Generation and Analysis
(2012-11-19)The efficacy of interventions to control HIV spread depends upon many features of the communities where they are implemented, including not only prevalence, incidence, and per contact risk of transmission, but also properties ... -
Inference and Prediction for High Dimensional Data via Penalized Regression and Kernel Machine Methods
(2012-08-06)Analysis of high dimensional data often seeks to identify a subset of important features and assess their effects on the outcome. Furthermore, the ultimate goal is often to build a prediction model with these features that ... -
Kernel Machine Methods for Risk Prediction with High Dimensional Data
(2012-10-22)Understanding the relationship between genomic markers and complex disease could have a profound impact on medicine, but the large number of potential markers can make it hard to differentiate true biological signal from ... -
Landmark Prediction of Survival
(2013-02-12)The importance of developing personalized risk prediction estimates has become increasingly evident in recent years. In general, patient populations may be heterogenous and represent a mixture of different unknown subtypes ... -
Multivariate Data Analysis with Applications to Cancer
(2012-08-10)Multivariate data is common in a wide range of settings. As data structures become increasingly complex, additional statistical tools are required to perform proper analyses. In this dissertation we develop and evaluate ... -
Outcome-Driven Clustering of Microarray Data
(2012-09-17)The rapid technological development of high-throughput genomics has given rise to complex high-dimensional microarray datasets. One strategy for reducing the dimensionality of microarray experiments is to carry out a cluster ... -
Statistical Methodology for Sequence Analysis
(2012-07-24)Rare disease variants are receiving increasing importance in the past few years as the potential cause for many complex diseases, after the common disease variants failed to explain a large part of the missing heritability. ... -
Statistical Methods for Clinical Trials with Multiple Outcomes, HIV Surveillance, and Nonparametric Meta-Analysis
(2012-08-17)Central to the goals of public health are obtaining and interpreting timely and relevant information for the benefit of humanity. In this dissertation, we propose methods to monitor and assess the spread HIV in a more rapid ... -
Statistical Methods for High Dimensional Data in Environmental Genomics
(2013-02-11)In this dissertation, we propose methodology to analyze high dimensional genomics data, in which the observations have large number of outcome variables, in addition to exposure variables. In the Chapter 1, we investigate ... -
Statistical Methods for Panel Studies with Applications in Environmental Epidemiology
(2013-01-02)Pollution studies have sought to understand the relationships between adverse health effects and harmful exposures. Many environmental health studies are predicated on the idea that each exposure has both acute and long ... -
Survey Designs and Spatio-Temporal Methods for Disease Surveillance
(2012-09-18)By improving the precision and accuracy of public health surveillance tools, we can improve cost-efficacy and obtain meaningful information to act upon. In this dissertation, we propose statistical methods for improving ... -
Survival Analysis with High-Dimensional c\Covariates, with Applications to Cancer Genomics
(2012-08-09)Recent technological advances have given cancer researchers the ability to gather vast amounts of genetic and genomic data from individual patients. These offer tantalizing possibilities for, for example, basic cancer ... -
Using Whole-Genome Sequence Data to Predict Quantitative Trait Phenotypes in Drosophila melanogaster
(Public Library of Science, 2012)Predicting organismal phenotypes from genotype data is important for plant and animal breeding, medicine, and evolutionary biology. Genomic-based phenotype prediction has been applied for single-nucleotide polymorphism ...