The Biostatistics Cluster provides statistical support for the design, planning, monitoring, analysis, and interpretation of R24 Center projects.
- New design approaches to randomized controlled trials (RCTs) with clustered measurements, longitudinal measurements, historical controls, community intervention, and cost analyses.
- Adaptive RCT designs for studies requiring repeat treatments and flexible designs for interim monitoring of safety and efficacy endpoints.
- Accounting for potential biases in observational studies, including propensity score, instrumental variables, marginal structured models, and sensitivity analysis.
- Bayesian hierarchical models for missing data imputation, disease mapping, joint analysis of survival and longitudinal data, and derivation and validation of predictive models.