Skip to main content
Jonathan Chipman, PhD

I am interested in improving the efficiency, scientific relevance, and robustness of randomized trial conclusions.

This has led or is leading to methodological work in: 

  • Matched Randomization methods to adjust for any number and type of covariates
  • Using covariate-adjusted randomization with randomization-based inference
  • Monitoring trials until ruling out essentially null or clinically relevant meaningful effects
  • Assessing the impact of population-based assumptions (e.g., t-test) when sampling from a finite population
  • Matched randomization methods for biomarker trial designs

I belong to the Randomization Working Group and am serving on the Guest Editorial team for a special issue on randomization in Statistics in Biopharmaceutical Research.