Browsing by FAS Department "Biostatistics"
Now showing items 1-16 of 16
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An Analysis of Using Pedigrees in Family Based Studies and an Exploration of Cancer Risk and Cancer Resistance UsingTwin Studies
(2017-01-18)In the first section of this thesis, we explore the use of family pedigrees in association analysis. Family pedigrees were successfully used in linkage analysis to discover many genes for Mendelian traits, but less successful ... -
Methods for Effectively Combining Group- and Individual-Level Data
(2015-04-07)In observational studies researchers often have access to multiple sources of information but ultimately choose to apply well-established statistical methods that do not take advantage of the full range of information ... -
Modeling and Estimation of Patterns of Relationship Formation and Dissolution
(2016-05-19)This dissertation describes and develops methods for modeling sexual partnership formation and termination using retrospectively collected survey data. Such methods are required to produce information necessary to model ... -
On the Statistical Properties of Epidemics on Networks
(2016-05-09)One major aim of statistics is to systematically study outcomes of interest in a population by observing the properties of a sample of that population. Some outcomes, such as the total number of people infected in an ... -
Ordinal Outcome Prediction and Treatment Selection in Personalized Medicine
(2015-05-06)In personalized medicine, two important tasks are predicting disease risk and selecting appropriate treatments for individuals based on their baseline information. The dissertation focuses on providing improved risk ... -
Quantitative Methods for Stratified Medicine
(2015-05-15)Stratified medicine has tremendous potential to deliver more effective therapeutic intervention to improve public health. For practical implementation, reliable prediction models and clinically meaningful categorization ... -
Rank-Based Methods for Survival Data With Multiple Outcomes
(2015-08-27)In clinical studies of survival, additional endpoints on patients may be collected over the course of the study that give additional insight into a treatment's effect. We propose three methods to analyze right censored ... -
Retrospective Mixed Model and Propensity Score Methods for Case Control Data
(2015-09-28)In chapter one a Liability Threshold Mixed Linear Model (LTMLM) association statistic is introduced for ascertained case-control studies that increases power vs. existing mixed model methods for diseases with low prevalence, ... -
Robust Semi-Parametric Inference in Semi-Supervised Settings
(2016-05-17)In this dissertation, we consider semi-parametric estimation problems under semi-supervised (SS) settings, wherein the available data consists of a small or moderate sized labeled data (L), and a much larger unlabeled data ... -
Semi-Parametric Methods for Missing Data and Causal Inference
(2016-05-14)In this dissertation, we propose methodology to account for missing data as well as a strategy to account for outcome heterogeneity. Missing data occurs frequently in empirical studies in health and social sciences, often ... -
Semiparametric Methods for Causal Mediation Analysis and Measurement Error
(2015-08-06)Chapter 1: Since the early 2000s, evidence has accumulated for a significant differential effect of first-line antiretroviral therapy (ART) regimens on human immunodeficiency virus (HIV) treatment outcomes, such as CD4 ... -
Sensitivity Analysis for Linear Structural Equation Models, Longitudinal Mediation With Latent Growth Models and Blended Learning in Biostatistics Education
(2015-05-15)In chapter 1, we consider the biases that may arise when an unmeasured confounder is omitted from a structural equation model (SEM) and sensitivity analysis techniques to correct for such biases. We give an analysis of ... -
Statistical Methods for Analyzing Complex Spatial and Missing Data
(2015-12-04)In chapter 1, we develop a novel two-dimensional wavelet decomposition to decompose spatial surfaces into different frequencies without imposing any restrictions on the form of the spatial surface. We illustrate the ... -
Statistical methods for analyzing genetic sequencing association studies
(2016-05-16)Case-control genetic sequencing studies are increasingly being conducted to identify rare variants associated with complex diseases. Oftentimes, these studies collect a variety of secondary traits--quantitative and qualitative ... -
Statistical Methods for Estimating the Effects of Multi-Pollutant Exposures in Children's Health Research
(2016-09-15)We develop statistical strategies to explore how time-varying exposures to heavy metal mixtures affects cognition and cognitive trajectories in children. In chapter 1, we develop a Bayesian model, called Lagged Kernel ... -
Three Aspects of Biostatistical Learning Theory
(2015-05-15)In the present dissertation we consider three classical problems in biostatistics and statistical learning - classification, variable selection and statistical inference. Chapter 2 is dedicated to multi-class classification. ...