Details
| Original language | English |
|---|---|
| Pages (from-to) | 14-27 |
| Number of pages | 14 |
| Journal | Statistics in Biopharmaceutical Research |
| Volume | 4 |
| Issue number | 1 |
| Early online date | 24 May 2012 |
| Publication status | E-pub ahead of print - 24 May 2012 |
Abstract
The U.S. National Toxicology Program uses Shirley's test for the evaluation of endpoints in hematology, clinical chemistry, and urinalysis, which are assumed to be skewed distributed. Until now, no algorithm for Shirley's test for general unbalanced designs has been devised. A Shirley-type procedure is provided for estimating multiplicity-adjusted p-values or simultaneous confidence intervals for any continuous or discrete distributions and possible heterogeneous variances. Routine evaluation can be performed using the open-source R package nparcomp. The use of simultaneous confidence intervals for the relative effect is recommended, since these scale-invariant intervals allow one to claim the statistical significance of multiple endpoints as well as their biological relevance.
Keywords
- Nonparametric test, Shirley test, Simultaneous confidence intervals, Trend test
ASJC Scopus subject areas
- Mathematics(all)
- Statistics and Probability
- Pharmacology, Toxicology and Pharmaceutics(all)
- Pharmaceutical Science
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In: Statistics in Biopharmaceutical Research, Vol. 4, No. 1, 24.05.2012, p. 14-27.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Evaluation of Toxicological Studies Using a Nonparametric Shirley-Type Trend Test for Comparing Several Dose Levels with a Control Group
AU - Konietschke, Frank
AU - Hothorn, Ludwig A.
N1 - Funding Information: The authors are grateful to an Associate Editor of the journal and several anonymous referees for helpful comments which considerably improved the article. This work was supported in part by the German Science Foundation projects Br-655/16-1 and HO 1687/9-1.
PY - 2012/5/24
Y1 - 2012/5/24
N2 - The U.S. National Toxicology Program uses Shirley's test for the evaluation of endpoints in hematology, clinical chemistry, and urinalysis, which are assumed to be skewed distributed. Until now, no algorithm for Shirley's test for general unbalanced designs has been devised. A Shirley-type procedure is provided for estimating multiplicity-adjusted p-values or simultaneous confidence intervals for any continuous or discrete distributions and possible heterogeneous variances. Routine evaluation can be performed using the open-source R package nparcomp. The use of simultaneous confidence intervals for the relative effect is recommended, since these scale-invariant intervals allow one to claim the statistical significance of multiple endpoints as well as their biological relevance.
AB - The U.S. National Toxicology Program uses Shirley's test for the evaluation of endpoints in hematology, clinical chemistry, and urinalysis, which are assumed to be skewed distributed. Until now, no algorithm for Shirley's test for general unbalanced designs has been devised. A Shirley-type procedure is provided for estimating multiplicity-adjusted p-values or simultaneous confidence intervals for any continuous or discrete distributions and possible heterogeneous variances. Routine evaluation can be performed using the open-source R package nparcomp. The use of simultaneous confidence intervals for the relative effect is recommended, since these scale-invariant intervals allow one to claim the statistical significance of multiple endpoints as well as their biological relevance.
KW - Nonparametric test
KW - Shirley test
KW - Simultaneous confidence intervals
KW - Trend test
UR - http://www.scopus.com/inward/record.url?scp=84865057937&partnerID=8YFLogxK
U2 - 10.1080/19466315.2011.633861
DO - 10.1080/19466315.2011.633861
M3 - Article
AN - SCOPUS:84865057937
VL - 4
SP - 14
EP - 27
JO - Statistics in Biopharmaceutical Research
JF - Statistics in Biopharmaceutical Research
SN - 1946-6315
IS - 1
ER -