Details
Original language | English |
---|---|
Pages (from-to) | 301-305 |
Number of pages | 5 |
Journal | Journal of Biopharmaceutical Statistics |
Volume | 13 |
Issue number | 2 |
Publication status | Published - 4 Jan 2003 |
Abstract
The identification of the minimum effective dose for both the primary and secondary endpoint under a priori importance ordering assumption is described. Stepwise testing procedures, which conditionally test each elementary hypotheses at level α, but control the experimentwise Type I error rate, can be used.
Keywords
- Dose finding trial, Intersection-union test, Multiple endpoints
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. 2, 04.01.2003, p. 301-305.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Analyzing randomized dose finding studies with a primary and a secondary endpoint
AU - Hothorn, Ludwig A.
AU - Wassmer, Gernot
PY - 2003/1/4
Y1 - 2003/1/4
N2 - The identification of the minimum effective dose for both the primary and secondary endpoint under a priori importance ordering assumption is described. Stepwise testing procedures, which conditionally test each elementary hypotheses at level α, but control the experimentwise Type I error rate, can be used.
AB - The identification of the minimum effective dose for both the primary and secondary endpoint under a priori importance ordering assumption is described. Stepwise testing procedures, which conditionally test each elementary hypotheses at level α, but control the experimentwise Type I error rate, can be used.
KW - Dose finding trial
KW - Intersection-union test
KW - Multiple endpoints
UR - http://www.scopus.com/inward/record.url?scp=0037273486&partnerID=8YFLogxK
U2 - 10.1081/BIP-120019273
DO - 10.1081/BIP-120019273
M3 - Article
C2 - 12729396
AN - SCOPUS:0037273486
VL - 13
SP - 301
EP - 305
JO - Journal of Biopharmaceutical Statistics
JF - Journal of Biopharmaceutical Statistics
SN - 1054-3406
IS - 2
ER -