A unified approach for assessing heterogeneity in age–period–cohort model parameters using random effects

Volume: 28, Issue: 1, Pages: 20 - 34
Published: Jun 7, 2017
Abstract
Age–period–cohort models are a popular tool for studying population-level rates; for example, trends in cancer incidence and mortality. Age–period–cohort models decompose observed trends into age effects that correlate with natural history, period effects that reveal factors impacting all ages simultaneously (e.g. innovations in screening), and birth cohort effects that reflect differential risk exposures that vary across birth years....
Paper Details
Title
A unified approach for assessing heterogeneity in age–period–cohort model parameters using random effects
Published Date
Jun 7, 2017
Volume
28
Issue
1
Pages
20 - 34
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