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