Browsing by FAS Department "Biostatistics"
Now showing items 1-15 of 15
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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. ...