Age-period-cohort models in Stata
Peter D. Sasieni
Centre for Cancer Prevention
Wolfson Institute of Preventive Medicine
Queen Mary, University of London
London, UK
[email protected]
|
Abstract. In this article, I describe and illustrate Stata programs that facilitate i)
the fitting of smooth age–period–cohort models to event data and ii) the plotting
of observed and fitted rates. The programs include postestimation functionality
and flexibility to fit models not possible using Stata’s glm command. What
distinguishes this article from a recent Stata Journal article on age–period–cohort
models by Rutherford, Lambert, and Thompson (2010, Stata Journal 10: 606–627)
is that the emphasis here is on extrapolating the model fit to make projections
into the future.
View all articles by this author:
Peter D. Sasieni
View all articles with these keywords:
apcspline, grmean, age–period–cohort models
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|
