Using previous trial results to inform hypothesis testing of new interventions

Changyu Shen, Xiaochun Li

Research output: Contribution to journalArticle

Abstract

Results of industry-sponsored Phase III trials registered at clinicaltrials.gov include a rich amount of information on the efficacy of medical interventions. We propose that these results can be used to inform hypothesis testing of a new intervention through the Bayes principle. The posterior probability of positive efficacy offers an accessible interpretation of the uncertainty of efficacy and a convenient metric for global false-positive control.

Original languageEnglish (US)
Pages (from-to)1-9
Number of pages9
JournalJournal of Biopharmaceutical Statistics
DOIs
StateAccepted/In press - Nov 20 2017

Fingerprint

Hypothesis Testing
Uncertainty
Efficacy
Industry
Posterior Probability
Bayes
False Positive
Clinical Trials
Metric

Keywords

  • Empirical Bayes
  • false positive
  • hypothesis testing
  • Phase III randomized trials
  • posterior probability

ASJC Scopus subject areas

  • Statistics and Probability
  • Pharmacology
  • Pharmacology (medical)

Cite this

Using previous trial results to inform hypothesis testing of new interventions. / Shen, Changyu; Li, Xiaochun.

In: Journal of Biopharmaceutical Statistics, 20.11.2017, p. 1-9.

Research output: Contribution to journalArticle

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