A comparison of three methods of analysis for age-period-cohort models with application to incidence data on non-Hodgkin's lymphoma.
Various methods of analysis have been used to study age-period-cohort models.
The main aim of this paper is to illustrate and compare three such methods.
Those of Clayton and Schifflers, Robertson and Boyle, and De Carli and La Vecchia.
The main differences between these methods lie in their approach to distinguish between linear-period and linear-cohort effects.
Clayton and Schifflers do not attempt to solve this identification problem, whereas Robertson and Boyle, and De Carli and La Vecchia attempt to tackle this question.
In order to study the assumptions and problems of these methods, we analysed data from 2678 subjects aged 30-84 in Yorkshire, UK, who were diagnosed with non-Hodgkin's lymphoma (NHL) during the period 1978-1991.
Log-linear Poisson models were used to examine the effects of age, period and cohort.
All three methods of analysis agree that, after stratification for sex and county, the age-standardized rate has been increasing at about 5% per year.
The Robertson-Boyle method differed from the Clayton-Schifflers method in showing a significant non-linear cohort effect, and a significant county-cohort interaction.
The method of De Carli-La Vecchia agreed more closely with Clayton-Schifflers than with Robertson-Boyle.
The linear increase in incidence would lead to a doubling of the number of cases within 15 years.
There is controversy over whether the identification problem can be solved and should be solved. (...)
Mots-clés Pascal : Lymphome non hodgkinien, Age, Etude cohorte, Modèle statistique, Epidémiologie, Méthodologie, Incidence, Homme, Royaume Uni, Europe, Etude comparative, Hémopathie maligne, Lymphoprolifératif syndrome
Mots-clés Pascal anglais : Non Hodgkin lymphoma, Age, Cohort study, Statistical model, Epidemiology, Methodology, Incidence, Human, United Kingdom, Europe, Comparative study, Malignant hemopathy, Lymphoproliferative syndrome
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 97-0244954
Code Inist : 002B30A01A1. Création : 11/06/1997.