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

    6 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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