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Estimating Carcinogenic Potency from a Rodent Tumorigenicity Experiment

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  • Dianne M. Finkelstein
  • Louise M. Ryan

Abstract

Rodent tumorigenicity experiments are conducted to determine whether a particular substance accelerates tumour development. The association between exposure to this substance and the risk of tumour development can be characterized by a measure of carcinogenic potency. The most commonly used potency measure, the dose effect on the lifetime risk of tumour, may be seriously biased, especially when control and exposed groups differ with respect to longevity. However, more appropriate measures, which account for age at death, are largely unavailable except in the special cases of instantly lethal or nonlethal tumours or tumours with observable onset. In this paper, we propose an estimate of carcinogenic potency based on a proportonal prevalence odds model which applies regardless of tumour lethality and can be calculated using standard statistical methodologies. Furthermore, we show how our estimator can be used to generalize available potency estimators to tumours of any lethality.

Suggested Citation

  • Dianne M. Finkelstein & Louise M. Ryan, 1987. "Estimating Carcinogenic Potency from a Rodent Tumorigenicity Experiment," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 36(2), pages 121-133, June.
    • Handle: RePEc:bla:jorssc:v:36:y:1987:i:2:p:121-133
    DOI: 10.2307/2347543
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    Cited by:

    1. Heping Zhang & Daniel Zelterman, 1999. "Binary Regression for Risks in Excess of Subject-Specific Thresholds," Biometrics, The International Biometric Society, vol. 55(4), pages 1247-1251, December.
    2. D. Krewski & D .W. Gaylor & A. P. Soms & M. Szyszkowicz, 1993. "An Overview of the Report: Correlation Between Carcinogenic Potency and the Maximum Tolerated Dose: Implications for Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 13(4), pages 383-398, August.
    3. Balakrishnan, N. & Ling, M.H., 2014. "Gamma lifetimes and one-shot device testing analysis," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 54-64.

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