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


Curtin, F; Altman, DG; Elbourne, D; (2002) Meta-analysis combining parallel and cross-over clinical trials. I: Continuous outcomes. Statistics in medicine, 21 (15). pp. 2131-44. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.1205

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Abstract

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.

Item Type: Article
Keywords: Blood Pressure/drug effects, Clinical Trials/*methods, *Cross-Over Studies, Human, *Meta-Analysis, Potassium/therapeutic use, Statistics/*methods, Support, Non-U.S. Gov't, Blood Pressure, drug effects, Clinical Trials, methods, Cross-Over Studies, Human, Meta-Analysis, Potassium, therapeutic use, 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: 12210629
Web of Science ID: 177051300001
URI: http://researchonline.lshtm.ac.uk/id/eprint/17248

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