Use of Age-Period-Cohort Analysis in Cancer Epidemiology Research

Citation

Murphy, Caitlin C. & Yang, Yang Claire (2018). Use of Age-Period-Cohort Analysis in Cancer Epidemiology Research. Current Epidemiology Reports, 5(4), 418-431. PMCID: PMC6474378

Abstract

Age-period-cohort (APC) models simultaneously estimate the effects of age—biological process of aging; time period—secular trends that occur in all ages simultaneously; and birth cohort—variation among those born around the same year or from one generation to the next. APC models inform understanding of cancer etiology, natural history, and disparities. We reviewed findings from recent studies (published 2008–2018) examining age, period, and cohort effects and summarized trends in age-standardized rates and age-specific rates by birth cohort. We also described prevalence of cancer risk factors by time period and birth cohort, including obesity, current smoking, human papilloma virus (HPV), and hepatitis C virus (HCV).

URL

https://doi.org/10.1007/s40471-018-0174-8

Reference Type

Journal Article

Year Published

2018

Journal Title

Current Epidemiology Reports

Author(s)

Murphy, Caitlin C.
Yang, Yang Claire

PMCID

PMC6474378

ORCiD

Yang, YC - 0000-0001-7279-1479