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A Weibull model for the estimation of tumorigenic potency.
Authors
- Dewanji, A, Dewanji A, Health Protection Branch, Health and Welfare Canada, Ottawa, Ontario.
- Krewski, D, Krewski D,
- Goddard, M J, Goddard MJ,
YEAR OF PUBLICATION: 1993
SOURCE: Biometrics. 1993 Jun;49(2):367-77.
JOURNAL TITLE ABBREVIATION: Biometrics
JOURNAL TITLE: Biometrics
ISSN: 0006-341X (Print) 0006-341X (Linking)
VOLUME: 49
ISSUE: 2
PAGES: 367-77
PLACE OF PUBLICATION: England
ABSTRACT:
In this paper, a new method of estimating tumorigenic potency is proposed that takes into account information on survival and, when available, the underlying cause of death. Specifically, Weibull distributions are used to describe the time to tumor occurrence (X), the time to death as a result of tumor occurrence (Y), and the time of death from causes other than tumor occurrence (Z). The distributions of X and Y are related via a lethality parameter p lying between 0 (incidental tumors) and 1 (rapidly fatal tumors). The index of tumorigenic potency is defined as the dose inducing a specified excess tumor response rate (in the range of 25%-50%) following exposure for an extended period encompassing most of the expected lifespan. Application of the proposed method is illustrated using several data sets taken from the literature.
In this paper, a new method of estimating tumorigenic potency is proposed that takes into account information on survival and, when available, the underlying cause of death. Specifically, Weibull distributions are used to describe the time to tumor occurrence (X), the time to death as a result of tumor occurrence (Y), and the time of death from causes other than tumor occurrence (Z). The distributions of X and Y are related via a lethality parameter p lying between 0 (incidental tumors) and 1 (rapidly fatal tumors). The index of tumorigenic potency is defined as the dose inducing a specified excess tumor response rate (in the range of 25%-50%) following exposure for an extended period encompassing most of the expected lifespan. Application of the proposed method is illustrated using several data sets taken from the literature.
LANGUAGE: eng
DATE OF PUBLICATION: 1993 Jun
DATE COMPLETED: 19931013
DATE REVISED: 20131121
MESH DATE: 1993/06/01 00:01
EDAT: 1993/06/01 00:00
STATUS: MEDLINE
PUBLICATION STATUS: ppublish
OWNER: NLM
Related RSI Experts
Chief Risk Scientist
Dr. Daniel Krewski is Chief Risk Scientist and co-founder of Risk Sciences International (RSI), a firm established in 2006 to bring evidence-based, multidisciplinary expertise to the challenge of understanding, managing, and communicating risk. As RSI’s inaugural CEO and long-time scientific...