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A Unified Approach to a Class of Stochastic Carcinogenesis Models

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  • Qi Zheng

Abstract

Survival and hazard functions play a pivotal role in carcinogenesis modeling. This paper provides a unified approach to computing these two quantities by classifying a large class of carcinogenesis models from a computational point of view, and prescribes specific computational recipes according to this classification.

Suggested Citation

  • Qi Zheng, 1997. "A Unified Approach to a Class of Stochastic Carcinogenesis Models," Risk Analysis, John Wiley & Sons, vol. 17(5), pages 617-624, October.
    • Handle: RePEc:wly:riskan:v:17:y:1997:i:5:p:617-624
    DOI: 10.1111/j.1539-6924.1997.tb00902.x
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    File URL: https://doi.org/10.1111/j.1539-6924.1997.tb00902.x
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    References listed on IDEAS

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    1. Dennis W. Quinn, 1989. "Calculating the Hazard Function and Probability of Tumor for Cancer Risk Assessment When the Parameters Are Time‐Dependent," Risk Analysis, John Wiley & Sons, vol. 9(3), pages 407-413, September.
    2. Qi Zheng, 1995. "On the MVK Stochastic Carcinogenesis Model with Erlang Distributed Cell Life Lengths," Risk Analysis, John Wiley & Sons, vol. 15(4), pages 495-502, August.
    3. Annette Kopp‐Schneider & Christopher J. Portier & Claire D. Sherman, 1994. "The Exact Formula for Tumor Incidence in the Two‐Stage Model," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1079-1080, December.
    4. Qi Zheng, 1994. "On the Exact Hazard and Survival Functions of the MVK Stochastic Carcinogenesis Model," Risk Analysis, John Wiley & Sons, vol. 14(6), pages 1081-1084, December.
    Full references (including those not matched with items on IDEAS)

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