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An adaptive design for identifying the dose with the best efficacy/tolerability profile with application to a crossover dose-finding study.
Ivanova, Anastasia; Liu, Ken; Snyder, Ellen; Snavely, Duane.
Affiliation
  • Ivanova A; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7420, USA. aivanova@bios.unc.edu
Stat Med ; 28(24): 2941-51, 2009 Oct 30.
Article in En | MEDLINE | ID: mdl-19731265
ABSTRACT
Proof-of-concept in clinical trials has traditionally focused on the identification of a maximum tolerated dose with the assumption that the higher doses provide better efficacy. However, adverse events associated with a maximum tolerated dose may have a negative effect on efficacy. We present an efficient adaptive dose-finding strategy that concentrates patient assignments at and around the dose which has the best efficacy/tolerability profile based on a utility function. The strategy is applied within the setting of a crossover design. While the strategy may also be applied to parallel studies, a crossover design provides more power for a given sample size for comparisons between the optimal dose versus placebo and/or active control when it is reasonable to assume no carryover effects.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pharmaceutical Preparations / Clinical Trials, Phase II as Topic Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stat Med Year: 2009 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pharmaceutical Preparations / Clinical Trials, Phase II as Topic Type of study: Clinical_trials / Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Stat Med Year: 2009 Type: Article Affiliation country: United States