Literature DB >> 19882677

A simple analysis of a simple crossover trial with a dichotomous outcome measure.

Hubert Schouten1, Arnold Kester.   

Abstract

For the two-treatment two-period crossover trial with a dichotomous outcome measure a simple and straightforward analysis is proposed: compute the treatment difference for each of the treatment sequences AB and BA, and then average over the sequence groups. The mean difference is used in the statistical test and in the computation of the 95 per cent confidence interval. The method is generalized to the case of a crossover trial including more than two treatments.

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Year:  2010        PMID: 19882677     DOI: 10.1002/sim.3771

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  3 in total

1.  An Evaluation of Statistical Methods for Analyzing Follow-Up Gaussian Laboratory Data with a Lower Quantification Limit.

Authors:  John M Karon; Ryan E Wiegand; Janneke H van de Wijgert; Peter H Kilmarx
Journal:  J Biopharm Stat       Date:  2015       Impact factor: 1.051

2.  A note on misspecification in general linear models with correlated errors for the analysis of crossover clinical trials.

Authors:  Wei Wang; Ning Cong; Tian Chen; Hui Zhang; Bo Zhang
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

3.  The impact of insecticide-treated school uniforms on dengue infections in school-aged children: study protocol for a randomised controlled trial in Thailand.

Authors:  Annelies Wilder-Smith; Peter Byass; Phanthip Olanratmanee; Pongsri Maskhao; Luechai Sringernyuang; James G Logan; Steve W Lindsay; Sarah Banks; Duane Gubler; Valérie R Louis; Yesim Tozan; Pattamaporn Kittayapong
Journal:  Trials       Date:  2012-11-15       Impact factor: 2.279

  3 in total

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