Dropouts in the AB/BA crossover design

Ho, Weang Kee, Matthews, John N. S., Henderson, Robin, Farewell, Daniel ORCID: https://orcid.org/0000-0002-8871-1653 and Rodgers, Lauren R. 2012. Dropouts in the AB/BA crossover design. Statistics in Medicine 31 (16) , pp. 1675-1687. 10.1002/sim.4497

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Abstract

Missing data arise in crossover trials, as they do in any form of clinical trial. Several papers have addressed the problems that missing data create, although almost all of these assume that the probability that a planned observation is missing does not depend on the value that would have been observed; that is, the data are missing at random (MAR). In many applications, this assumption is likely to be untenable; in which case, the data are missing not at random (MNAR). We investigate the effect on estimates of the treatment effect that assume data areMAR when data are actually MNAR.We also propose using the assumption of no carryover treatment effect, which is usually required for this design, to permit the estimation of a treatment effect when data are MNAR. The results are applied to a trial comparing two treatments for neuropathic pain and show that the estimate of treatment effect is sensitive to the assumption of MAR.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Subjects:	R Medicine > R Medicine (General)
Uncontrolled Keywords:	crossover design; dropouts; intention to treat; inverse probability weighting; missing data
Publisher:	Wiley
ISSN:	0277-6715
Last Modified:	21 Oct 2022 10:41
URI:	https://orca.cardiff.ac.uk/id/eprint/41018

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