Statistical analysis of animal cancer chemoprevention experiments.
We explore the use of a statistical model proposed by Kokoska (1987, Biometrics 43, 525-534) 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.
Freedman
L S
LS
Biometry Branch, National Cancer Institute, Bethesda, Maryland 20892.
Midthune
D N
DN
Brown
C C
CC
Steele
V
V
Kelloff
G J
GJ
D000230:Adenocarcinoma / Q000139:chemically induced / Q000517:prevention & control; D000818:Animals; D001699:Biometry; D002273:Carcinogens; D003627:Data Interpretation, Statistical; D004354:Drug Screening Assays, Antitumor / Q000706:statistics & numerical data*; D005260:Female; D008325:Mammary Neoplasms, Experimental / Q000139:chemically induced / Q000517:prevention & control; D015233:Models, Statistical; D009374:Neoplasms, Experimental / Q000139:chemically induced / Q000517:prevention & control*; D051381:Rats; D013997:Time Factors
D002273:Carcinogens