title: Adaptive sequential testing for multiple comparisons.
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.
authors.affiliation: a The Medicines Company , Parsippany , New Jersey , USA.
authors.forename: Ping
authors.initials: P
authors.lastname: Gao
authors.forename: Lingyun
authors.initials: L
authors.lastname: Liu
authors.forename: Cyrus
authors.initials: C
authors.lastname: Mehta
mesh_terms: D017326:Clinical Trials, Phase III as Topic / Q000379:methods / Q000706:statistics & numerical data*; D003198:Computer Simulation; D006801:Humans; D008390:Markov Chains; D016032:Randomized Controlled Trials as Topic / Q000379:methods / Q000706:statistics & numerical data*; D012107:Research Design; D018401:Sample Size
keywords: Adaptive sequential testing; Exact type I error control; Markov process; Multiple comparisons; Transition density function