Literature DB >> 25296692

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

Stephen Senn1.   

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.
Copyright © 2014 John Wiley & Sons, Ltd.

Keywords:  consistency; fixed effects; information; meta-analysis; sequential analysis; weighting

Mesh:

Year:  2014        PMID: 25296692     DOI: 10.1002/pst.1639

Source DB:  PubMed          Journal:  Pharm Stat        ISSN: 1539-1604            Impact factor:   1.894


  1 in total

Review 1.  Lessons learned from IDeAl - 33 recommendations from the IDeAl-net about design and analysis of small population clinical trials.

Authors:  Ralf-Dieter Hilgers; Malgorzata Bogdan; Carl-Fredrik Burman; Holger Dette; Mats Karlsson; Franz König; Christoph Male; France Mentré; Geert Molenberghs; Stephen Senn
Journal:  Orphanet J Rare Dis       Date:  2018-05-11       Impact factor: 4.123

  1 in total

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