Statistical analysis of animal cancer chemoprevention experiments

L. S. Freedman; D. N. Midthune; C. C. Brown; V. Steele; G. J. Kelloff

doi:10.2307/2532621

Statistical analysis of animal cancer chemoprevention experiments

L. S. Freedman
, D. N. Midthune
, C. C. Brown
, V. Steele
, G. J. Kelloff

National Institutes of Health

Research output: Contribution to journal › Article › peer-review

17 Scopus citations

Abstract

We explore the use of a statistical model proposed by Kokoska for the analysis of animal cancer chemoprevention experiments. We show, using an example, that the results derived from the method can be sensitive to the parametric forms of the distributions that are assumed, particularly to the distribution of the number of tumors per animal. We propose goodness-of-fit tests to aid in the choice of the distributions.

Original language	English
Pages (from-to)	259-268
Number of pages	10
Journal	Biometrics
Volume	49
Issue number	1
DOIs	https://doi.org/10.2307/2532621
State	Published - Mar 1993
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Carcinogen
Goodness of fit
Negative binomial
Poisson
Survival analysis
Tumor initiation
Tumor promotion

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10.2307/2532621

Cite this

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AU - Kelloff, G. J.

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KW - Goodness of fit

KW - Negative binomial

KW - Poisson

KW - Survival analysis

KW - Tumor initiation

KW - Tumor promotion

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Statistical analysis of animal cancer chemoprevention experiments

Abstract

UN SDGs

Keywords

Access to Document

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