Effects of treatment-induced mortality and tumor-induced mortality on tests for carcinogenicity in small samples

Biometrics. 1988 Jun;44(2):417-31.


Statistical tests of carcinogenicity are shown to have varying degrees of robustness to the effects of mortality. Mortality induced by two different mechanisms is studied--mortality due to the tumor of interest, and mortality due to treatment independent of the tumor. The two most commonly used tests, the life-table test and the Cochran-Armitage linear trend test, are seen to be highly sensitive to increases in treatment lethality using small-sample simulations. Increases in tumor lethality are seen to affect the performance of commonly used prevalence tests such as logistic regression. A simple survival-adjusted quantal response test appears to be the most robust of all the procedures considered.

MeSH terms

  • Animals
  • Biometry / methods*
  • Models, Theoretical
  • Mutagenicity Tests / methods*
  • Neoplasms, Experimental / chemically induced
  • Neoplasms, Experimental / mortality*
  • Neoplasms, Experimental / therapy
  • Stochastic Processes