Biostatistics Theses and Dissertations

Theses and Dissertations for the Biostatistics department.

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Description:: Time introduces complexity in causal inference for observational studies. This thesis investigates two sources of bias for studies involving time-varying data. One is the missing …
Year:: 2022
Contributor:: Cao, Yi (creator); Gutman, Roee (Advisor); Hogan, Joseph (Reader); Gozalo, Pedro (Reader); Papandonatos, George (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: causal inference; missing data; Longitudinal studies; Multiple imputation (Statistics); Data augmentation; encouragement design; Instrumental variables (Statistics); Cross-temporal matching
Collection:: Public Health; Biostatistics; Theses and Dissertations

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Description:: Provider profiling is used to gauge the level of care that is being offered across providers. The extensive repercussions of provider profiling on the health …
Year:: 2020
Contributor:: Silva, Gabriella C (creator); Gutman, Roee (Advisor); Trivedi, Amal (Reader); Gatsonis, Constantine (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: causal inference; missing data
Collection:: Public Health; Biostatistics; Theses and Dissertations

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Description:: The Dietary Screening Tool (DST) is a scoring system used to characterize nutritional risk in older adults. The DST evaluates intake of different food groups …
Year:: 2025
Contributor:: Yost, Rachel (creator); Gutman, Roee (Advisor); Risica, Patricia (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: Nutrition; missing data; Multiple imputation (Statistics); Dietary Screening Tool
Collection:: Public Health; Biostatistics; Theses and Dissertations

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Description:: Background: Randomized clinical trials (RCTs) are considered the gold standard approach for assessing the comparative effectiveness of medical interventions. Given the importance of RCTs for …
Year:: 2017
Contributor:: Saeed, Iman (creator); Dahabreh, Issa (Reader); Hogan, Joseph (Advisor); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: Clinical trials; Missing observations (Statistics); missing data; Statistics; Research--Methodology; Quantitative research; Simulation methods
Collection:: Public Health; Biostatistics; Theses and Dissertations

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Description:: Adjusting for pre-specified baseline covariates in randomized trials can result in efficiency gains for the estimated effects. Even under misspecification of the adjustment model, the …
Year:: 2023
Contributor:: Okutse, Amos Ochieng (creator); Hogan, Joseph (Advisor); Steingrimsson, Jon (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: Machine Learning; missing data
Collection:: Public Health; Biostatistics; Theses and Dissertations

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Description:: The objective of this dissertation is to develop methods for statistical record linkage that are more robust when identifying information is limited or recorded with …
Year:: 2019
Contributor:: Shan, Mingyang (creator); Gutman, Roee (Advisor); Thomas, Kali (Reader); Gatsonis, Constantine (Reader); Gozalo, Pedro (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: causal inference; Bayesian; missing data; Record Linkage
Collection:: Public Health; Biostatistics; Theses and Dissertations

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Description:: Consistent medical care is essential for the health of people living with HIV (PLWH). Regular engagement in care improves access to antiretroviral therapy (ART), reduces …
Year:: 2026
Contributor:: Lewis, Nickolas (creator); Hogan, Joseph (Advisor); Oganisian, Arman (Reader); Steingrimsson, Jon (Reader); Kantor, Rami (Reader); Brown University. Department of Biostatistics (sponsor)
Genre:: theses
Subject:: HIV/AIDS; missing data; Bayesian Machine Learning; Variable Importance; Electronic Health Records
Collection:: Public Health; Biostatistics; Theses and Dissertations

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