Details
| Original language | English |
|---|---|
| Pages (from-to) | 1477-1489 |
| Number of pages | 13 |
| Journal | Statistics in medicine |
| Volume | 33 |
| Issue number | 9 |
| Publication status | Published - 2 Apr 2014 |
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
ASJC Scopus subject areas
- Medicine(all)
- Epidemiology
- Mathematics(all)
- Statistics and Probability
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In: Statistics in medicine, Vol. 33, No. 9, 02.04.2014, p. 1477-1489.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Testing for qualitative interaction using ratios of treatment differences
AU - Kitsche, Andreas
AU - Hothorn, Ludwig A.
PY - 2014/4/2
Y1 - 2014/4/2
N2 - 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.
AB - 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.
KW - Consistency
KW - Heterogeneity
KW - Qualitative interactions
KW - Ratios of differences
KW - Simultaneous confidence intervals
UR - http://www.scopus.com/inward/record.url?scp=84898059248&partnerID=8YFLogxK
U2 - 10.1002/sim.6048
DO - 10.1002/sim.6048
M3 - Article
C2 - 24302387
AN - SCOPUS:84898059248
VL - 33
SP - 1477
EP - 1489
JO - Statistics in medicine
JF - Statistics in medicine
SN - 0277-6715
IS - 9
ER -