UF’s PhD in Biostatistics prepares scholars to develop novel statistical models and apply them to complex health data. The program integrates statistical theory, clinical research, and computational methods to address critical issues in public health, genomics, epidemiology, and clinical trials. Graduates pursue academic careers or leadership roles in health agencies, research institutions, and pharma.
Thesis on survival analysis with time-varying covariates in cancer patient cohorts
Development of adaptive randomization algorithms for clinical trials with rare diseases
Bayesian hierarchical modeling of infectious disease incidence with spatial components
Analysis of zero-inflated count data in emergency room admission studies
Longitudinal modeling of mental health outcomes post-pandemic using mixed effects models
Simulation study on power and type I error in group sequential designs
Thesis on causal inference using inverse probability weighting in observational data
Biostatistical model for genetic association studies with population stratification adjustment
Development of imputation strategies for missing biomarker data in cohort studies
Use of deep learning for automated medical image segmentation and diagnosis
Multivariate analysis of health outcomes in patients with multi-morbidity profiles
Functional data analysis in continuous glucose monitoring datasets
Design and analysis of cluster-randomized intervention trials in public schools
Thesis on personalized treatment effect estimation using Bayesian shrinkage priors
Evaluation of machine learning ensemble methods for disease classification tasks
Modeling vaccine efficacy using real-world electronic health records (EHR)
Nonparametric estimation of cumulative incidence in competing risk settings
Stochastic process modeling of patient monitoring in critical care units
Thesis on meta-regression techniques for synthesizing global health data
Development of statistical tools for microbiome data visualization and inference
Advance biomedical discovery with innovative statistical research and data-driven insight.
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