Details
| Original language | English |
|---|---|
| Pages (from-to) | 934-948 |
| Number of pages | 15 |
| Journal | Journal of Biopharmaceutical Statistics |
| Volume | 18 |
| Issue number | 5 |
| Early online date | 10 Sept 2008 |
| Publication status | Published - Sept 2008 |
Abstract
In long-term rodent carcinogenicity studies without cause of death information, poly-k-adjusted tumor rates are commonly used to assess the carcinogenic potential of a compound. Testing trend on proportions, global tests such as the Cochran-Armitage test and Williams-type test have been proposed. Here are introduced simultaneous confidence intervals and adjusted p-values for multiple contrasts on poly-k-adjusted tumor rates, based on approximation with the multivariate normal distribution. Williams-type contrasts and Dunnett-type comparisons to control are special cases of this approach. In simulation studies, the acceptable performance for finite sample sizes is demonstrated. The methods are applied to a real data example and are implemented in a package for R.
Keywords
- Animal carcinogenicity study, Cochran-Armitage trend test, Multiple contrast test, Poly-3 test
ASJC Scopus subject areas
- Mathematics(all)
- Statistics and Probability
- Pharmacology, Toxicology and Pharmaceutics(all)
- Pharmacology
- Medicine(all)
- Pharmacology (medical)
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Journal of Biopharmaceutical Statistics, Vol. 18, No. 5, 09.2008, p. 934-948.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Poly-k-trend tests for survival adjusted analysis of tumor rates formulated as approximate multiple contrast test
AU - Schaarschmidt, Frank
AU - Sill, Martin
AU - Hothorn, Ludwig A.
PY - 2008/9
Y1 - 2008/9
N2 - In long-term rodent carcinogenicity studies without cause of death information, poly-k-adjusted tumor rates are commonly used to assess the carcinogenic potential of a compound. Testing trend on proportions, global tests such as the Cochran-Armitage test and Williams-type test have been proposed. Here are introduced simultaneous confidence intervals and adjusted p-values for multiple contrasts on poly-k-adjusted tumor rates, based on approximation with the multivariate normal distribution. Williams-type contrasts and Dunnett-type comparisons to control are special cases of this approach. In simulation studies, the acceptable performance for finite sample sizes is demonstrated. The methods are applied to a real data example and are implemented in a package for R.
AB - In long-term rodent carcinogenicity studies without cause of death information, poly-k-adjusted tumor rates are commonly used to assess the carcinogenic potential of a compound. Testing trend on proportions, global tests such as the Cochran-Armitage test and Williams-type test have been proposed. Here are introduced simultaneous confidence intervals and adjusted p-values for multiple contrasts on poly-k-adjusted tumor rates, based on approximation with the multivariate normal distribution. Williams-type contrasts and Dunnett-type comparisons to control are special cases of this approach. In simulation studies, the acceptable performance for finite sample sizes is demonstrated. The methods are applied to a real data example and are implemented in a package for R.
KW - Animal carcinogenicity study
KW - Cochran-Armitage trend test
KW - Multiple contrast test
KW - Poly-3 test
UR - http://www.scopus.com/inward/record.url?scp=51649084557&partnerID=8YFLogxK
U2 - 10.1080/10543400802294285
DO - 10.1080/10543400802294285
M3 - Article
C2 - 18781526
AN - SCOPUS:51649084557
VL - 18
SP - 934
EP - 948
JO - Journal of Biopharmaceutical Statistics
JF - Journal of Biopharmaceutical Statistics
SN - 1054-3406
IS - 5
ER -