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Article
Data sources: zbMATH Open
Biometrics
Article . 1993 . Peer-reviewed
Data sources: Crossref
Biometrics
Article . 1993
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A Weibull Model for the Estimation of Tumorigenic Potency

A Weibull model for the estimation of tumorigenic potency
Authors: Dewanji, A.; Krewski, D.; Goddard, M. J.;

A Weibull Model for the Estimation of Tumorigenic Potency

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.

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Keywords

Male, Skin Neoplasms, Time Factors, maximum likelihood estimation, incidental tumors, survival, Applications of statistics to biology and medical sciences; meta analysis, time to death, cause of death, estimating tumorigenic potency, 2-acetylaminofluorene, Animals, Weibull distributions, carcinogenic potency database, competing risks, Probability, Aniline Compounds, Models, Statistical, tumor lethality, Neoplasms, Experimental, 2-Acetylaminofluorene, time to tumor occurrence, Rats, Death, lethality parameter, Carcinogens, rapidly fatal tumors, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Average
Top 10%
Top 10%
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