Dropouts in the AB/BA crossover design.

Statistics in Medicine
Weang Kee HoLauren R Rodgers

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 are MAR 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.

References

Jul 1, 1979·British Journal of Clinical Pharmacology·M Hills, P Armitage
Jun 23, 2004·Biostatistics·Geert MolenberghsRaymond J Carroll
Aug 5, 2005·Journal of Biopharmaceutical Statistics·Jae-Young LeeSang-Gue Park
Aug 19, 2007·Statistics in Medicine·Ian R WhiteAngela M Wood
Jun 3, 2008·Statistical Science : a Review Journal of the Institute of Mathematical Statistics·Anastasios A Tsiatis, Marie Davidian
Aug 1, 2005·Statistical Science : a Review Journal of the Institute of Mathematical Statistics·Marie DavidianSelene Leon

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Citations

Mar 23, 2013·Biostatistics·John N S Matthews, Robin Henderson
Jun 23, 2015·Annals of Neurology·Lynn Marie TrottiDavid B Rye
Apr 24, 2012·Statistical Methods in Medical Research·John N S MatthewsLauren R Rodgers
Jul 8, 2017·Statistics in Medicine·Jonathan J Shuster
Nov 16, 2021·Statistical Methods in Medical Research·Xi Wang, Vernon M Chinchilli

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