Biostatistics Theses and Dissertations

Theses and Dissertations for the Biostatistics department.

Refine your results

Description:: Observational data are routinely used to evaluate interventions (e.g., policies or treatments) and are an alternative to randomized controlled trials when the latter are impractical …
Year:: 2026
Contributor:: Fernández-Morales, Esteban (creator); Oganisian, Arman (Advisor); Lee, Youjin (Advisor); Hogan, Joseph (Reader); Crawford, Lorin (Reader); Zullo, Andrew (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: causal inference; Bayesian Statistics; Biostatistics; Observational Studies
Collection:: Public Health; Biostatistics; Theses and Dissertations

Available to Brown-affiliated users only

Full Record

Description:: Randomized controlled trials (RCTs) are often considered the gold standard for investigating the effects of an intervention. However, selective recruitment criteria often exclude vulnerable populations …
Year:: 2024
Contributor:: Sisti, Anthony (creator); Gatsonis, Constantine (Reader); McCreedy, Ellen (Reader); Mor, Vince (Reader); Gutman, Roee (Advisor); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: causal inference; noncompliance; Experimental design; Bayesian Statistics; Intercurrent Events; Pragmatic Trials; Observational Studies
Collection:: Public Health; Biostatistics; Theses and Dissertations

Full Record

Description:: In practice, it is rare that the true generating mechanism of a data source is known. This uncertainty presents a challenge to statisticians, who are …
Year:: 2024
Contributor:: Gravelle, Patrick (creator); Gutman, Roee (Advisor); Gatsonis, Constantine (Reader); Mor, Vincent (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: causal inference; Bayesian Statistics; Randomized controlled trials
Collection:: Public Health; Biostatistics; Theses and Dissertations

Full Record

Description:: The recent proliferation of high-dimensional biological data presents an unparalleled opportunity to understand complex systems in many scientific fields, including cell biology, cancer genomics, and …
Year:: 2025
Contributor:: Hansen, Blake Lennon (creator); De Vito, Roberta (Advisor); Wu, Zhijin (Reader); Oganisian, Arman (Reader); Russo, Massimiliano (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: Bayesian Statistics; Nutritional epidemiology; Matrix Factorization; Cancer Genomics; High-Dimensional Statistics
Collection:: Public Health; Biostatistics; Theses and Dissertations

Full Record

Description:: Background & Aims Food insecurity, which is associated with increased dementia risk and cognitive decline, affects millions of older people in the US. Meals on …
Year:: 2025
Contributor:: Lindner-Liaw, Maia (creator); Gutman, Roee (Advisor); Thomas, Kali (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: causal inference; Record Linkage; Multiple imputation (Statistics); Bayesian Statistics; Power Prior; Historical data
Collection:: Public Health; Biostatistics; Theses and Dissertations

Full Record

Description:: Background: Bayesian factor models are widely used for dimensionality reduction and pattern discovery in high-dimensional datasets across diverse fields. These models typically focus on imposing …
Year:: 2025
Contributor:: Huang, Yingjie (creator); De Vito, Roberta (Advisor); Oganisian, Arman (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: Bayesian Statistics
Collection:: Public Health; Biostatistics; Theses and Dissertations

Available to Brown-affiliated users only

Full Record