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Titel:

Addressing the identification problem in age-period-cohort analysis: a tutorial on the use of partial least squares and principal components analysis

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Tu, Y.-K., Krämer, N. and Lee, W.-C.
Abstract:
In the analysis of trends in health outcomes, an ongoing issue is how to separate and estimate the effects of age, period, and cohort. As these 3 variables are perfectly collinear by definition, regression coefficients in a general linear model are not unique. In this tutorial, we review why identification is a problem, and how this problem may be tackled using partial least squares and principal components regression analyses. Both methods produce regression coefficients that fulfill the...     »
Stichworte:
age-period-cohort; principal component analysis; partial least squares; body height
Zeitschriftentitel:
Epidemiology
Jahr:
2012
Band / Volume:
23
Heft / Issue:
4
Seitenangaben Beitrag:
583 - 593
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1097/EDE.0b013e31824d57a9
WWW:
http://journals.lww.com/epidem/Abstract/2012/07000/Addressing_the_Identification_Problem_in.11.aspx
Print-ISSN:
1044-3983
E-ISSN:
1531-5487
TUM Einrichtung:
Lehrstuhl für Mathematische Statistik
Format:
Text
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