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Stat Med. 2014 Apr 30;33(9):1477-89. doi: 10.1002/sim.6048. Epub 2013 Dec 3.

Testing for qualitative interaction using ratios of treatment differences.

Author information

1
Institut für Biostatistik, Leibniz Universität Hannover, Herrenhäuser Straße 2, 30419 Hannover, Germany.

Abstract

Testing for or against a qualitative interaction is relevant in randomized clinical trials that use a common primary factor treatment and have a secondary factor, such as the centre, region, subgroup, gender or biomarker. Interaction contrasts are formulated for ratios of differences between the levels of the primary treatment factor. Simultaneous confidence intervals allow for interpreting the magnitude and the relevance of the qualitative interaction. The proposed method is demonstrated by means of a multi-centre clinical trial, using the R package mratios.

KEYWORDS:

consistency; heterogeneity; qualitative interactions; ratios of differences; simultaneous confidence intervals

PMID:
24302387
DOI:
10.1002/sim.6048
[Indexed for MEDLINE]

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