Meta-analysis combining parallel and cross-over clinical trials. I: Continuous outcomes

被引:155
作者
Curtin, F
Altman, DG
Elbourne, D
机构
[1] Univ London London Sch Hyg & Trop Med, Med Stat Unit, London WC1 7HT, England
[2] Inst Hlth Sci, Ctr Stat Med, Canc Res UK Med Stat Grp, Oxford OX3 7LF, England
关键词
meta-analysis; parallel trials; cross-over trials; continuous data;
D O I
10.1002/sim.1205
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Among clinical trials assessing a given treatment, often parallel and cross-over designs are used together. In the first paper of a series of three, we explore two methods to pool continuous outcomes in a meta-analysis combining parallel and cross-over trial designs: the weighted mean difference (WMD) and the standardized weighted mean difference (SWMD). The combined design meta-analytic formulae are based on a weighted average of the two design treatment estimates. A random effects model can be implemented. Both WMD and SWMD can be used, the choice of the method is determined by the type of outcomes obtained in the trials. Compared to the number of included subjects, the relative weight of the cross-over design is large in combined-design meta-analysis. Differences in the weight estimation between WMD and SWMD can also accentuate the relative weight of cross-over trials, which must be considered a case of design-specific bias. Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:2131 / 2144
页数:14
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