Brown University
  1. Top
  2. ...
  3. Biostatistics
  4. Theses and Dissertations

Biostatistics Theses and Dissertations

Theses and Dissertations for the Biostatistics department.

Active filters

KeywordMachine Learning Cancel selected facet

Refine your results

Items

Items (1-11) out of 11 results

A Deep Learning Framework for Protein Expression Prediction from Histology Images

Description:
Hematoxylin and eosin (H&E) histology is widely available, but it captures morphology rather than molecular phenotype. Spatial proteomics measures tissue protein organization, yet is limited …
Year:
2026
Contributor:
Liu, Ian Yiheng (creator)
Ma, Ying (Advisor)
Duan, Fenghai (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Histology, Pathological
Computer Vision
Deep Learning
Representation Learning
spatial transcriptomics
spatial proteomics
histology images
computational pathology
spatial omics
multimodal learning
cross-modal alignment
variational autoencoder
morphology-to-omics prediction
digital twin
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Harnessing the Power of Machine Learning Methods for Enhancing HIV Care and Treatment Within Resource-Limited Settings

Description:
Background: Prognostic prediction has empirically proven to be a highly effective paradigm that is radically reshaping public health, clinical medicine, and healthcare as a domain. …
Year:
2019
Contributor:
Kimaina, Allan Kendagor (creator)
Hogan, Joseph (Advisor)
Chrysanthopoulou, Stavroula (Reader)
Kantor, Rami (Reader)
DeLong, Allison (Reader)
Dick, Jonathan (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Big data
HIV
GBM
Personalized medicine
xgboost
bart
stacked ensemble
superlearner
Prognostic prediction
virologic failure
virologic rebound
virologic suppression
Machine learning--Statistical methods
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Linear Mixed Models for Heterogeneity Estimation

Description:
This dissertation is motivated by complex data architectures—typical in genetics research—that break the assumptions of classical frequentist analyses. Predictors are not necessarily independent nor fewer …
Year:
2023
Contributor:
Udwin, Dana Lauren (creator)
Gutman, Roee (Reader)
De Vito, Roberta (Reader)
Crawford, Lorin (Advisor)
Ramachandran, Sohini (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Genetics
Biostatistics
Factor analysis
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Machine Learning Methods for Bias Correction and Precision Optimization Using Covariate Adjustment in Randomized Trials With Missing Data

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
Full Record

Mixed and Irregular Frequency Models: Comparative Analysis with Healthcare Applications

Description:
This thesis presents a comparative analysis of advanced modeling approaches for clinical time series data characterized by irregular sampling intervals, missing values, and irregular length …
Year:
2025
Contributor:
Arnold, Thomas Boyd (creator)
Paul, Alice (Advisor)
Chrysanthopoulou, Stavroula (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Statistics
Biostatistics
Deep learning (Machine learning)
deep neural network
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Prediction of Acute Kidney Injury in Hospitalized COVID-19 Patients Using Machine Learning

Description:
Prediction of Acute Kidney Injury in Hospitalized COVID-19 Patients Using Machine Learning, by David Carbonello, ScM., Brown University, May 2021 Many studies provide evidence that …
Year:
2021
Contributor:
Carbonello, David J (creator)
Schmid, Christopher (Advisor)
Sarin, Pankaj (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
COVID-19
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Real-Time Monitoring and Optimization of Machine Learning-Based Medical Devices Across Diverse Populations and Environments

Description:
Machine learning (ML) models face challenges in clinical deployment due to data heterogeneity and potential performance degradation over time. This dissertation develops statistical methods to …
Year:
2025
Contributor:
Kang, Ruya (creator)
Gatsonis, Constantine (Advisor)
Steingrimsson, Jon (Advisor)
Liu, Tao (Reader)
Duan, Fenghai (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Quality control
Medical device
Performance monitoring
Model optimization
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Secondary Data Analysis of PECARN Traumatic Brain Injury in Children Dataset

Description:
We conducted a secondary data analysis of PECARN (The Pediatric Emergency Care Applied Research Network) traumatic brain injury in children dataset. To keep more information …
Year:
2019
Contributor:
Yang, Xiaofei (creator)
Papandonatos, George (Advisor)
Steele, Dale (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
traumatic brain injury
PECARN
ciTBI
Penalized regression
Logistic regression analysis
Super Learner
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Selection of Clinical Text Features for Classifying Suicide Attempts

Description:
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being …
Year:
2020
Contributor:
Buckland, Ryan (creator)
Chen, Elizabeth (Advisor)
Hogan, Joseph (Advisor)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Dimension reduction (Statistics)
Natural language processing (Computer science)
Medical records--Data processing
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Statistical Methods for Machine Learning: Tree-Based Evaluation of Heterogeneous Model Performance and Uncertainty-Based Referral for Deep Learning

Description:
How the performance of black box machine learning algorithms (e.g., deep learning models) is affected by different factors can be hard to evaluate. Thus, in …
Year:
2022
Contributor:
Zhang, Ruotao (creator)
Steingrimsson, Jon (Advisor)
Gatsonis, Constantine (Advisor)
Duan, Fenghai (Reader)
Eloyan, Ani (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
Deep Learning
Calibration--Statistical methods
Tree-based Methods
Model Evaluation
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Topics in Heterogeneous Treatment Effect Estimation

Description:
Heterogeneous treatment effect estimation is commonly performed by exploring treatment covariate interactions in regression models or by performing pre-specified subgroup analyses using data from randomized …
Year:
2022
Contributor:
Yang, Jiabei (creator)
Schmid, Christopher (Advisor)
Steingrimsson, Jon (Advisor)
Dahabreh, Issa (Reader)
Brown University. Department of Biostatistics (sponsor)
Genre:
theses
Subject:
Machine Learning
causal inference
Clinical trials
heterogeneity of treatment effects
N-of-1 Trials
Recursive partitioning
Collection:
Public Health
Biostatistics
Theses and Dissertations
Full Record

Items (1-11) out of 11 results