Research
Biostatistics Resource Group
The Department of Biostatistics focuses on statistical applications in clinical and basic science research:
- Bayesian modeling, computation and inference
- Clinical trial design and analysis
- Statistical methods for cancer screening studies
- Neural network modeling
- Prognostic factor studies
- Survival data analysis
- Missing data analytic procedures
- Sequential statistical designs
- Hierarchical modeling
- Markov chain Monte Carlo algorithms
- Genetic testing algorithms
- Noninferiority analysis
- Regression analysis
- Applied decision theory
- Longitudinal studies
- Disease mapping
- Nonparametric statistical methods
- Pharmacodynamic modeling
- Analysis of population pharmacokinetics
- Nonlinear dynamics