UNC Gillings’ MS in Biostatistics couples mathematical rigor with immersive collaboration at one of the world’s busiest academic medical centers. Students master Bayesian inference, survival analysis, and causal diagrams while coding high-throughput pipelines in R, Python, and Stan. Practicum rotations embed cohorts inside UNC Lineberger Cancer Center, the Carolina Data Science Now hub, and CDC-funded field sites, producing real-time dashboards that guide vaccine rollouts and precision-oncology trials.
Bayesian adaptive-randomization design for Phase II oncology study
Time-varying Cox model of long-COVID outcomes in EHR cohorts
Shiny dashboard comparing wastewater SARS-CoV-2 signals to case rates
Causal-impact analysis of Medicaid expansion on cancer screening
Spatial hierarchical model of Lyme-disease risk under climate scenarios
Machine-learning pipeline predicting NICU sepsis from physiological streams
Meta-analysis quantifying bias in nutrition RCTs
Synthetic-control study of firearm-injury trends after state policy shifts
Simulation framework teaching power calculations for cluster trials
Differential-privacy toolkit for releasing neonatal-ICU data
Grant proposal for AI-assisted adjudication of radiology endpoints
Interactive workshop on reproducible research with Quarto
Policy brief on equitable allocation of organ-transplant scores
Open-source R package implementing dynamic borrowing in basket trials
White paper on federated learning for multi-hospital COVID registries
Podcast series demystifying p-hacking and research integrity
Apply advanced statistics and computing to solve urgent health challenges.
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