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Methods for Analyzing Survival and Binary Data in Complex Surveys
(2014-06-06)
Studies with stratified cluster designs, called complex surveys, have increased in popularity in medical research recently. With the passing of the Affordable Care Act, more information about effectiveness of treatment, ...
Capture-recapture Estimation for Conflict Data and Hierarchical Models for Program Impact Evaluation
(2014-06-06)
A relatively recent increase in the popularity of evidence-based activism has created a higher demand for statisticians to work on human rights and economic development projects. The statistical challenges of revealing ...
Bayesian Biclustering on Discrete Data: Variable Selection Methods
(2013-10-18)
Biclustering is a technique for clustering rows and columns of a data matrix simultaneously. Over the past few years, we have seen its applications in biology-related fields, as well as in many data mining projects. As ...
Bayesian Methods and Computation for Large Observational Datasets
(2013-09-30)
Much health related research depends heavily on the analysis of a rapidly expanding universe of observational data. A challenge in analysis of such data is the lack of sound statistical methods and tools that can address ...
Generalizability Methods for Estimating Causal Population Effects
(2021-07-12)
Studies are often performed in samples that do not resemble the target populations relevant for policy, treatment, or other decisions. Much of the causal inference literature has focused on addressing internal validity ...
Optimal Transport Methods for Causal Inference, Multisample Testing, and Model Interpretation
(2021-05-12)
The manuscript discusses three topics that utilize optimal transport and related methodologies to solve problems in statistics. Chapter 2 uses the Wasserstein distance to construct interpretable approximations to complicated ...
Innovative Approaches for Risk Assessment in Panel Gene Testing
(2022-06-06)
Panel germline tests simultaneously detect multiple pathogenic variants, typically grouped by association with a higher risk of developing certain cancers or syndromes. Next-generation sequencing has made testing for many ...
Statistical Methods for Mortality and Mobility Estimation after Natural Disasters
(2022-05-11)
Population displacement may occur after natural disasters, permanently altering the demographic composition
of the affected regions. Measuring this displacement is vital for both optimal post-disaster resource
allocation ...
Federated and Transfer Learning with Multi-site Electronic Health Record Data
(2022-05-05)
Electronic health records (EHR) data has become crucial resources for a growing number of data-driven biomedical studies such as automated disease diagnosis and genotype-phenotype translation studies. Nevertheless, power ...
A Gaussian-process Framework for Nonlinear Statistical Inference using Modern Machine Learning Models
(2023-05-12)
Gaussian Process Regression has become widely used in biomedical research in recent years, particularly for studying the intricate and nonlinear impacts of multivariate genetic or environmental exposures. This dissertation ...