Analysis of cross-over studies with missing data

This paper addresses some aspects of the analysis of cross-over trials with missing or incomplete data. A literature review on the topic reveals that many proposals provide correct results under the missing completely at random assumption while only some consider the more general missing at random s...

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Bibliographic Details
Published inStatistical methods in medical research Vol. 24; no. 4; pp. 420 - 433
Main Author Rosenkranz, Gerd K
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.08.2015
Sage Publications Ltd
Subjects
Clinical Trials as Topic
Cross-Over Studies
Data Interpretation, Statistical
sensitivity analyses
mixed-effects model
cross-over trials
fixed-effects model
missing data
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Summary:This paper addresses some aspects of the analysis of cross-over trials with missing or incomplete data. A literature review on the topic reveals that many proposals provide correct results under the missing completely at random assumption while only some consider the more general missing at random situation. It is argued that mixed-effects models have a role in this context to recover some of the missing intra-subject from the inter-subject information, in particular when missingness is ignorable. Eventually, sensitivity analyses to deal with more general missingness mechanisms are presented.
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ISSN:0962-2802
1477-0334
1477-0334
DOI:10.1177/0962280214521349