Details
| Original language | English |
|---|---|
| Pages (from-to) | 293-306 |
| Number of pages | 14 |
| Journal | Journal of Biopharmaceutical Statistics |
| Volume | 18 |
| Issue number | 2 |
| Publication status | Published - 18 Mar 2008 |
Abstract
For the analysis of multiarmed clinical trials often a set consisting of a mixture of one- and two-sided tests can be preferred over a set of common two-sided hypotheses settings. Here we show the straightforward application of existing multiple comparison procedures for the difference and ratio of normally distributed means to complex trial designs, involving one and two test directions. The proposed contrast tests provide a more flexible framework than the existing methods at nearly similar power. An application is illustrated for an example with multiple treatment doses and two active controls; statistical software codes are included for R and SAS System.
Keywords
- Clinical trials, Multiple comparisons, Simultaneous confidence intervals, User-defined contrasts
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. 18, No. 2, 18.03.2008, p. 293-306.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Joint one-sided and two-sided simultaneous confidence intervals
AU - Braat, S.
AU - Gerhard, D.
AU - Hothorn, L. A.
PY - 2008/3/18
Y1 - 2008/3/18
N2 - For the analysis of multiarmed clinical trials often a set consisting of a mixture of one- and two-sided tests can be preferred over a set of common two-sided hypotheses settings. Here we show the straightforward application of existing multiple comparison procedures for the difference and ratio of normally distributed means to complex trial designs, involving one and two test directions. The proposed contrast tests provide a more flexible framework than the existing methods at nearly similar power. An application is illustrated for an example with multiple treatment doses and two active controls; statistical software codes are included for R and SAS System.
AB - For the analysis of multiarmed clinical trials often a set consisting of a mixture of one- and two-sided tests can be preferred over a set of common two-sided hypotheses settings. Here we show the straightforward application of existing multiple comparison procedures for the difference and ratio of normally distributed means to complex trial designs, involving one and two test directions. The proposed contrast tests provide a more flexible framework than the existing methods at nearly similar power. An application is illustrated for an example with multiple treatment doses and two active controls; statistical software codes are included for R and SAS System.
KW - Clinical trials
KW - Multiple comparisons
KW - Simultaneous confidence intervals
KW - User-defined contrasts
UR - http://www.scopus.com/inward/record.url?scp=40449098194&partnerID=8YFLogxK
U2 - 10.1080/10543400701697174
DO - 10.1080/10543400701697174
M3 - Article
C2 - 18327722
AN - SCOPUS:40449098194
VL - 18
SP - 293
EP - 306
JO - Journal of Biopharmaceutical Statistics
JF - Journal of Biopharmaceutical Statistics
SN - 1054-3406
IS - 2
ER -