Browsing by FAS Department "Biostatistics"
Now showing items 21-34 of 34
-
Robust Methods for Estimating the Intraclass Correlation Coefficient and for Analyzing Recurrent Event Data
(2018-09-25)Robust statistics have emerged as a family of theories and techniques for estimating parameters of a model while dealing with deviations from idealized assumptions. Examples of deviations include misspecification of ... -
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 Assessing Complex Multi-Exposure Data in HIV and Genetic Epidemiology
(2018-05-16)Complex, multi-exposure problems arise in many forms. In this dissertation, we delve into three disparate forms of complex, multi-exposure questions, from the safety of combination antiretroviral (ARV) regimens to the ... -
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 ... -
Statistical Methods for Evaluating the Relationships Among Social, Spatial and Genetic Networks
(2018-05-15)Empirical findings suggest close relationships among social, spatial and genetic networks. Information learned from one network would provide beneficial insight on the others. These relationships offer the flexibility to ... -
Statistical Methods for Evidence Synthesis
(2018-08-31)In many empirical disciplines, scientific discovery is modularized into discrete papers each investigating one or more hypotheses. Synthesizing these modules of evidence is critical to inform a balanced and appropriately ... -
Statistical Methods for the Analysis of Observational Data With Multiple Correlated Outcomes
(2017-09-11)In this work, we consider three problems in applied statistics motivated by complex datasets, with approaches from both Frequentist and Bayesian paradigms. Chapter 2 is motivated by case-control data collected for the Army ... -
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. ... -
Three Aspects of Gene Expression: Pathway Coexpression, Cross-Species Analysis of RNA-seq Data, and Bias in Gene Coexpression
(2018-05-11)In this dissertation, we propose methods for gene expression focused on three problems in functional genomics: describing relationships between biological pathways, comparing tissues from different species, and accounting ...