An R package for fitting age, period and cohort models
Open Access
- 30 May 2022
- journal article
- research article
- Published by Milano University Press in Epidemiology, Biostatistics, and Public Health
- Vol. 11 (4)
Abstract
In this paper we present the R implementation of a GLIM macro which fits age-period-cohort model following Osmond and Gardner. In addition to the estimates of the corresponding model, owing to the programming capability of R as an object oriented language, methods for printing, plotting and summarizing the results are provided. Furthermore, the researcher has fully access to the output of the main function (apc) which returns all the models fitted within the function. It is so possible to critically evaluate the goodness of fit of the resulting modelKeywords
This publication has 7 references indexed in Scilit:
- Smoking prevalence in Italy 2011 and 2012, with a focus on hand-rolled cigarettesPreventive Medicine, 2013
- Mortality from cardiovascular and cerebrovascular diseases in Europe and other areas of the world: an updateEuropean Journal of Preventive Cardiology, 2009
- The age distribution of cancer and a multi-stage theory of carcinogenesisBritish Journal of Cancer, 2004
- Effect of potentially modifiable risk factors associated with myocardial infarction in 52 countries (the INTERHEART study): case-control studyThe Lancet, 2004
- Smoking, smoking cessation, and lung cancer in the UK since 1950: combination of national statistics with two case-control studiesBMJ, 2000
- Models for temporal variation in cancer rates. I: Age–period and age–cohort modelsStatistics in Medicine, 1987
- Age, period and cohort models applied to cancer mortality ratesStatistics in Medicine, 1982