Details
| Original language | English |
|---|---|
| Pages (from-to) | 663-673 |
| Number of pages | 11 |
| Journal | Journal of Biopharmaceutical Statistics |
| Volume | 13 |
| Issue number | 4 |
| Publication status | Published - 2003 |
| Externally published | Yes |
Abstract
Subgroup analyses are quite common in clinical trials although the subgroup findings are usually presented without adjustment for the multiple analyses, which increases the chance of false positive findings. This paper is focused on the multiplicity aspects of subgroup analyses in multiarmed randomized clinical trials and provides some guidance to practitioners.
Keywords
- Multiplicity, Multivariate t-distribution, Subgroup analyses
ASJC Scopus subject areas
- Mathematics(all)
- Statistics and Probability
- Pharmacology, Toxicology and Pharmaceutics(all)
- Pharmacology
- Medicine(all)
- Pharmacology (medical)
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In: Journal of Biopharmaceutical Statistics, Vol. 13, No. 4, 2003, p. 663-673.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Protocol designed subgroup analyses in multiarmed clinical trials
T2 - Multiplicity aspects
AU - Biesheuvel, Egbert H.E.
AU - Hothorn, Ludwig A.
N1 - Funding Information: We are grateful to the two referees and the guest editor for very helpful comments, and Dr. W. Maurer, Novartis AG, Basel, Switzerland, for the data of the second example. This work was partly supported for the second author by Volkswagen Stiftung project II/78 956.
PY - 2003
Y1 - 2003
N2 - Subgroup analyses are quite common in clinical trials although the subgroup findings are usually presented without adjustment for the multiple analyses, which increases the chance of false positive findings. This paper is focused on the multiplicity aspects of subgroup analyses in multiarmed randomized clinical trials and provides some guidance to practitioners.
AB - Subgroup analyses are quite common in clinical trials although the subgroup findings are usually presented without adjustment for the multiple analyses, which increases the chance of false positive findings. This paper is focused on the multiplicity aspects of subgroup analyses in multiarmed randomized clinical trials and provides some guidance to practitioners.
KW - Multiplicity
KW - Multivariate t-distribution
KW - Subgroup analyses
UR - http://www.scopus.com/inward/record.url?scp=0141924405&partnerID=8YFLogxK
U2 - 10.1081/BIP-120024201
DO - 10.1081/BIP-120024201
M3 - Article
C2 - 14584714
AN - SCOPUS:0141924405
VL - 13
SP - 663
EP - 673
JO - Journal of Biopharmaceutical Statistics
JF - Journal of Biopharmaceutical Statistics
SN - 1054-3406
IS - 4
ER -