Browsing Dissertations and Theses by Subject "Statistics"
Now showing items 120 of 69

Adjusting for Misclassified Outcomes in a Multistate Model
(20130725)In this dissertation, we present a new model that accounts for timedependent sensitivity in multivariate outcome survival models. Our problem was motivated by an interest in estimating baseline risk and associated covariates ... 
Algorithmic Approaches to Detecting Interviewer Fabrication in Surveys
(20130225)Surveys are one of the principal means of gathering critical data from lowincome regions. Bad data, however, may be no betteror worsethan no data at all. Interviewer data fabrication, one cause of bad data, is an ... 
An Algorithmic Framework for High Dimensional Regression with Dependent Variables
(20140224)We present an exploration of the rich theoretical connections between several classes of regularized models, network flows, and recent results in submodular function theory. This work unifies key aspects of these problems ... 
ANALYSIS OF MANAGED LANES ON FREEWAY FACILITIES
(20130725)Roadway agencies face growing challenges to expand freeway capacity. Under consideration of rising construction costs, rightofway limitations, and environmental constraints, transportation agencies are seeking solutions ... 
Bayesian Modeling For Multivariate Mixed Outcomes With Applications To Cognitive Testing Data
(20120913)This dissertation studies parametric and semiparametric approaches to latent variable models, multivariate regression and modelbased clustering for mixed outcomes. We use the term mixed outcomes to refer to binary, ordered ... 
Bayesian Modeling of Health Data in Space and Time
(20130225)In recent years spatialtemporal modeling has become increasingly popular in the field of public health and epidemiology. Motivated by two datasets, we address three issues in the Bayesian modeling of health data in space ... 
Bayesian Nonparametric Inference of Effective Population Size Trajectories from Genomic Data
(20130725)Phylodynamics is an area at the intersection of phylogenetics and population genetics that aims to reconstruct population size trajectories from genetic data. Phylodynamic methods rely on a standard framework based on the ... 
Bayesian Population Reconstruction: A Method for Estimating Age and Sexspecific Vital Rates and Population Counts with Uncertainty from Fragmentary Data
(20130723)Current methods for reconstructing human populations of the past by age and sex are deterministic or do not formally account for measurement error. I propose “Bayesian reconstruction”, a method for simultaneously estimating ... 
Bayesian spatial and temporal methods for public health data
In this thesis, we develop flexible models to analyze public health data in time and/or in space. The development of our methodology is motivated by two examples: cancer incidence data in Washington State and birth outcome ... 
Bayesian spatial and temporal methods for public health data
In this thesis, we develop flexible models to analyze public health data in time and/or in space. The development of our methodology is motivated by two examples: cancer incidence data in Washington State and birth outcome ... 
BioBehavioral Models for HIV Prevention
(20130417)<italic>Background</italic>: In this dissertation, I model HIV transmission in two different populations: circular migrants in South Africa, and men who have sex with men (MSM) in Southern California. <italic>Objectives</italic>: ... 
Causal Inference Using Educational Observational Data: Statistical Bias Reduction Methods and Multilevel Data Extensions
This study utilizes a data driven simulation design, which deviates from the traditional modelbased approaches most commonly adopted in quasiexperimental Monte Carlo (MC) simulation studies, to answer two main questions. ... 
Causal mediation analysis with failure time outcome and errorprone longitudinal covariate
Mediation analyses are important for understanding the biological mechanisms whereby a treatment/exposure influences an outcome of interest. For example, one may be interested in whether body fat accumulation mediates an ... 
A Comparison of Sample Size Calculations for Cluster Randomized Crossover Trials with a Binary Outcome
A simplified sample size calculation for a cluster randomized crossover trial with a binary survival outcome (the “ TBOSS ” method) was compared to the closed form equation and simulation methods currently available from ... 
Convex Optimization over Probability Measures
The thesis studies convex optimization over the Banach space of regular Borel measures on a compact set. The focus is on problems where the variables are constrained to be probability measures. Applications include ... 
CoordinateFree Exponential Families on Contingency Tables
(20120913)We propose a class of coordinatefree multiplicative models on the set of positive distributions on contingency tables and on some sets of cells of a more general structure. The models are called relational and are generated ... 
Degeneracy, Duration, and Coevolution: Extending Exponential Random Graph Models (ERGM) for Social Network Analysis
We address three aspects of statistical methodology in the application of Exponential family Random Graphs to modeling social network processes. The first is the topic of model degeneracy in ERGMs. We show this is a ... 
DiscreteTime Threshold Regression for Survival Data with TimeDependent Covariates
A natural approach to survival analysis in many settings is to model the subject's ``health'' status as a latent stochastic process, where the terminal event is represented by the first time that the process crosses a ... 
Employment Relations in Transition: An Examination of Workers' SelfAssessments of Job Quality, 1970  2006
My dissertation uses data from three sources from 1970 to 2006 to explore trends in American workers’ selfassessed perceptions of job quality over time. I find evidence that contemporary workers tend to assess their jobs ... 
Estimating Population Size Using the Network Scale Up Method
(20130725)We develop methods for estimating hardtoreach populations from data collected using networkbased questions on standard surveys. Such data arise by asking respondents how many people they know in a specific group (e.g. ...