Adaptive sequential testing for multiple comparisons

J Biopharm Stat. 2014;24(5):1035-58. doi: 10.1080/10543406.2014.931409.

Abstract

We propose a Markov process theory-based adaptive sequential testing procedure for multiple comparisons. The procedure can be used for confirmative trials involving multi-comparisons, including dose selection or population enrichment. Dose or subpopulation selection and sample size modification can be made at any interim analysis. Type I error control is exact.

Keywords: Adaptive sequential testing; Exact type I error control; Markov process; Multiple comparisons; Transition density function.

MeSH terms

  • Clinical Trials, Phase III as Topic / methods
  • Clinical Trials, Phase III as Topic / statistics & numerical data*
  • Computer Simulation
  • Humans
  • Markov Chains*
  • Randomized Controlled Trials as Topic / methods
  • Randomized Controlled Trials as Topic / statistics & numerical data*
  • Research Design*
  • Sample Size