A note regarding meta-Analysis of sequential trials with stopping for efficacy

Stephen Senn*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Abstract

It is shown that fixed-effect meta-Analyses of naïve treatment estimates from sequentially run trials with the possibility of stopping for efficacy based on a single interim look are unbiassed (or at the very least consistent, depending on the point of view) provided that the trials are weighted by information provided. A simple proof of this is given. An argument is given suggesting that this also applies in the case of multiple looks. The implications for this are discussed.

Original languageEnglish
Pages (from-to)371-375
Number of pages5
JournalPharmaceutical Statistics
Volume13
Issue number6
DOIs
Publication statusPublished - 1 Nov 2014

Keywords

  • Consistency
  • Fixed effects
  • Information
  • Meta-Analysis
  • Sequential analysis
  • Weighting

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