articleBiostatisticsDec 1, 2017HYBRID OA

Estimation of clinical trial success rates and related parameters

Massachusetts Institute of Technology

PubMed
Indexed incrossrefpubmed

Abstract

Previous estimates of drug development success rates rely on relatively small samples from databases curated by the pharmaceutical industry and are subject to potential selection biases. Using a sample of 406 038 entries of clinical trial data for over 21 143 compounds from January 1, 2000 to October 31, 2015, we estimate aggregate clinical trial success rates and durations. We also compute disaggregated estimates across several trial features including disease type, clinical phase, industry or academic sponsor, biomarker presence, lead indication status, and time. In several cases, our results differ significantly in detail from widely cited statistics. For example, oncology has a 3.4% success rate in our…

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Authors

3

Topics & keywords

Keywords
  • Clinical trial
  • Statistics
  • Sample size determination
  • Selection bias
  • Medicine
  • Biomarker
  • Selection (genetic algorithm)
  • Econometrics
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