title: A parametric multistate model for the analysis of carcinogenicity experiments.
abstract: A fully parametric multistate model is explored for the analysis of animal carcinogenicity experiments in which the time of tumour onset is not known. This model does not require assumptions about tumour lethality or cause of death judgements and can be fitted in the absence of sacrifice data. The model is constructed as a three-state model with simple parametric forms for the transition rates. Maximum likelihood methods are used to estimate the transition rates and different treatment groups are compared using likelihood ratio tests. Selection of an appropriate model and methods to assess the fit of the model are illustrated with data from animal experiments. Comparisons with standard methods are made.
authors.affiliation: Department of Epidemiology and Medical Statistics, London Hospital Medical College, U.K.
authors.forename: R Z
authors.initials: RZ
authors.lastname: Omar
authors.forename: N
authors.initials: N
authors.lastname: Stallard
authors.forename: J
authors.initials: J
authors.lastname: Whitehead
mesh_terms: D000818:Animals; D015197:Carcinogenicity Tests / Q000706:statistics & numerical data*; D016013:Likelihood Functions; D008390:Markov Chains; D015233:Models, Statistical; D009374:Neoplasms, Experimental / Q000139:chemically induced; D051381:Rats; D016019:Survival Analysis