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

Curtin, F; Elbourne, D; Altman, DG; (2002) Meta-analysis combining parallel and cross-over clinical trials. II: Binary outcomes. Statistics in medicine, 21 (15). pp. 2145-59. ISSN 0277-6715 DOI:

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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 cross-over and parallel trials, it is the method of choice to pool results from parallel and cross-over trials in a combined design meta-analysis.

Item Type: Article
Keywords: Albuminuria, Clinical Trials/*methods, *Cross-Over Studies, Diabetic Nephropathies/diet therapy, Diabetic Retinopathy/therapy, Diet, Protein-Restricted, Glomerular Filtration Rate/physiology, Human, Light Coagulation, *Meta-Analysis, Odds Ratio, Statistics/*methods, Support, Non-U.S. Gov't, Albuminuria, Clinical Trials, methods, Cross-Over Studies, Diabetic Nephropathies, diet therapy, Diabetic Retinopathy, therapy, Diet, Protein-Restricted, Glomerular Filtration Rate, physiology, Human, Light Coagulation, Meta-Analysis, Odds Ratio, Statistics, methods, Support, Non-U.S. Gov't
Faculty and Department: Faculty of Epidemiology and Population Health > Dept of Medical Statistics
Research Centre: Centre for Global Non-Communicable Diseases (NCDs)
PubMed ID: 12210630
Web of Science ID: 177051300002


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