Use of a Bayesian approach to decide when to stop a therapeutic trial: the case of a chemoprophylaxis trial in human immunodeficiency virus infection

Am J Epidemiol. 2005 Mar 15;161(6):595-603. doi: 10.1093/aje/kwi065.

Abstract

From 1996 to 1998, a phase III, placebo-controlled, therapeutic trial was conducted in Abidjan, Ivory Coast, to assess the efficacy of cotrimoxazole prophylaxis in reducing severe morbidity in adults at early stages of human immunodeficiency virus infection. The authors used the real data from this trial to simulate three Bayesian interim analyses. Three prior distributions were considered: a noninformative one, a skeptical one, and one based on external information. The posterior distribution was calculated by using directed acyclic graphs and Gibbs sampling. This Bayesian approach showed different results according to the prior distribution chosen. Although use of the noninformative prior would have led to stopping the trial at the same time that the frequentist approach would have, the skeptical prior would have led to continuing it, and the prior based on external data would have led to stopping it 1 year earlier.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anti-Infective Agents / therapeutic use*
  • Bayes Theorem*
  • Clinical Trials, Phase III as Topic
  • Cote d'Ivoire
  • Endpoint Determination / methods*
  • HIV Infections / drug therapy*
  • Humans
  • Randomized Controlled Trials as Topic
  • Trimethoprim, Sulfamethoxazole Drug Combination / therapeutic use*

Substances

  • Anti-Infective Agents
  • Trimethoprim, Sulfamethoxazole Drug Combination