Meta-analysis combining parallel and cross-over clinical trials. II: Binary outcomes

被引:90
作者
Curtin, F
Elbourne, D
Altman, DG
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; binary data;
D O I
10.1002/sim.1206
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
We examine different methods to pool binary outcomes used both in parallel and cross-over trials. Odds ratio (OR) estimators obtained from joint conditional probabilities in cross-over trials, such as the Mantel-Haenszel and Peto methods, are compared to an OR estimator using marginal results of cross-over trials. When there is correlation between the outcomes in the two cross-over periods, joint conditional ORs differ from marginal ORs and cannot be combined with OR estimates from parallel trials. The marginal OR estimate is independent of the between-period correlation and it includes a correction for cross-over correlation in the variance estimate. As its computation is similar in crossover and parallel trials, it is the method of choice to pool results from parallel and cross-over trials in a combined design meta-analysis. Copyright (C) 2002 John Wiley Sons, Ltd.
引用
收藏
页码:2145 / 2159
页数:15
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