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 |
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Pages (from-to) | 259-268 |
Number of pages | 10 |
Journal | Biometrics |
Volume | 49 |
Issue number | 1 |
DOIs | |
State | Published - Mar 1993 |
Externally published | Yes |
Keywords
- Carcinogen
- Goodness of fit
- Negative binomial
- Poisson
- Survival analysis
- Tumor initiation
- Tumor promotion