TY - JOUR
ID - st0211
A1 - Rutherford, M. J.
A1 - Lambert, P. C.
A1 - Thompson, J. R.
TI - Age-period-cohort modeling
JF - Stata Journal
PB - Stata Press
CY - College Station, TX
Y1 - 2010
VL - 10
IS - 4
SP - 606
EP - 627
KW - apcfit
KW - poprisktime
KW - age-period-cohort models
KW - incidence rates
KW - mortality rates
KW - Lexis diagrams
UR - http://www.stata-journal.com/article.html?article=st0211
L1 - http://www.stata-journal.com/sjpdf.html?article=st0211
AB - Age-period-cohort models provide a useful method for modeling incidence
and mortality rates. It is well known that age–period–cohort models suffer
from an identifiability problem due to the exact relationship between the variables
(cohort = period age). In 2007, Carstensen published an article advocating
the use of an analysis that models age, period, and cohort as continuous variables
through the use of spline functions (Carstensen, 2007, Statistics in Medicine 26:
3018-3045). Carstensen implemented his method for age-period-cohort models in
the Epi package for R. In this article, a new command is introduced, apcfit, that
performs the methods in Stata. The identifiability problem is overcome by forcing
constraints on either the period or cohort effects. The use of the command is illustrated
through an example relating to the incidence of colon cancer in Finland.
The example shows how to include covariates in the analysis.
ER -