Animal carcinogenicity experiments with and without serial sacrifice
- 1 January 1993
- journal article
- research article
- Published by Taylor & Francis in Communications in Statistics - Theory and Methods
- Vol. 22 (6) , 1557-1584
- https://doi.org/10.1080/03610929308831103
Abstract
Commonly used tests to detect carcinogenic potential of a test compound make extreme assumptions about the lethality of tumors, due to their occult nature. In this paper we compare a nonparametric test, which uses interim sacrifice to avoid such assumptions, with these tests using simulation based on the EDOl data. Results indicate that in the presence of a significant difference in the mortality rate with treatment, commonly used methods could fail to maintain the nominal significance level. However, when there is no difference in the mortality rate, such procedures are robust to the underlying assumptions about the lethality of tumors and more powerful than the nonparametric test using interim sacrifice.Keywords
This publication has 16 references indexed in Scilit:
- Constant Risk Differences in the Analysis of Animal Tumorigenicity DataBiometrics, 1991
- Comparison of Two Treatments in Animal Carcinogenicity ExperimentsJournal of the American Statistical Association, 1988
- Simple Parametric Analysis of Animal Tumorigenicity DataJournal of the American Statistical Association, 1988
- Effects of Treatment-Induced Mortality and Tumor-Induced Mortality on Tests for Carcinogenicity in Small SamplesBiometrics, 1988
- Nonparametric Methods for Survival/Sacrifice ExperimentsPublished by JSTOR ,1986
- On the Representativeness Assumption in Prevalence Tests of CarcinogenicityJournal of the Royal Statistical Society Series C: Applied Statistics, 1985
- Tests for Differences in Tumor Incidence Based on Animal Carcinogenesis ExperimentsJournal of the American Statistical Association, 1984
- Nonparametric Estimation of the Distribution of Time to Onset for Specific Diseases in Survival/Sacrifice ExperimentsPublished by JSTOR ,1984
- Nonparametric Estimation of Lifetime and Disease Onset Distributions from Incomplete ObservationsPublished by JSTOR ,1982
- Nonparametric Joint Estimators for Disease Resistance and Survival Functions in Survival/Sacrifice ExperimentsBiometrics, 1982