Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

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.

Original publication

DOI

10.1002/sim.1206

Type

Journal article

Journal

Stat med

Publication Date

15/08/2002

Volume

21

Pages

2145 - 2159

Keywords

Albuminuria, Clinical Trials as Topic, Cross-Over Studies, Diabetic Nephropathies, Diabetic Retinopathy, Diet, Protein-Restricted, Glomerular Filtration Rate, Humans, Light Coagulation, Meta-Analysis as Topic, Odds Ratio, Statistics as Topic