ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011
Age-period-cohort models in cancer surveillance research: ready for prime time?
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 2 of them syntheses that pooled it.
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Who cites it
134 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluation and forecasting methods to estimate number of patients with non-Hodgkin lymphoma: a systematic literature review.Population health metrics · 2025Pooled it
- Statistical methods for measuring trends in colorectal cancer incidence in registries: A systematic review.Frontiers in oncology · 2022Pooled it
- Gastric cancer incidence among Hispanics in California: patterns by time, nativity, and neighborhood characteristics.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012Trial
- Article
- Global and regional burden of cardiovascular diseases due to low physical activity from 1990 to 2021 and projections to 2045: a joinpoint regression and age-period-cohort analysis based on GBD 2021.Internal and emergency medicine · 2026Article
- Persistent and widening geographic disparities in liver cancer mortality in China, 1987-2021: a 35-year analysis from a national perspective.Journal of the National Cancer Center · 2026Article
- Paradoxical Trends in Hypertensive Heart Disease: Rising Burden in High-Sociodemographic-Index Regions Despite Healthcare Quality-An Age-Period-Cohort Analysis, 1992-2021.Journal of cardiovascular development and disease · 2026Article
- Trends in Female Breast Cancer Incidence among Japanese, Korean, and US Populations: An Age-Period-Cohort Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026Article
- Bayesian model prediction of colorectal cancer incidence in Jiangsu Province, China, a cancer registry-based study.BMC public health · 2026Article
- Subsequent primary cancer incidence among cancer survivors in the United States, 1975-2019: An age-period-cohort analysis.PLoS medicine · 2026Article
- Temporal trends in cervical cancer incidence and mortality in economically emerging countries, 1992-2021: an age-period-cohort analysis.BMJ global health · 2026Article
- Global, regional, and national burdens of pancreatitis in adults aged ≥65 years from 1992 to 2021: A trends analysis using data from the 2021 Global Burden of Disease Study.Journal of intensive medicine · 2026Article
- Global burden of non-Hodgkin lymphoma in the elderly: a population-based study using GBD 2021.Annals of hematology · 2026Article
- Global Burden of Pediatric Cardiovascular Diseases of Congenital and Non-Congenital Trends from 1992 to 2021.Communications medicine · 2026Article
- Trend Dynamics of Rheumatic Heart Disease Burden, 1990-2019: Insights From Age-Period-Cohort Modeling and Projections.Reviews in cardiovascular medicine · 2026Article
- Trends and projections of PMFrontiers in public health · 2026Article
- Trends and age-period-cohort analysis of migraine incidence in China from 1990 to 2021.PloS one · 2026Article
- Temporal trends in prevalence of chronic liver disease among women of childbearing age from 1992 to 2021.Frontiers in global women's health · 2026Article
- Article
- Global, regional, and national time trends in prevalence of metabolic dysfunction associated steatotic liver disease among women of reproductive age: an age-period-cohort analysis for the global Burden of Disease 2021 study.Annals of medicine · 2025Article
74 more citing papers are in PubMed but not listed here.
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Abstract
Standard descriptive methods for the analysis of cancer surveillance data include canonical plots based on the lexis diagram, directly age-standardized rates (ASR), estimated annual percentage change (EAPC), and joinpoint regression. The age-period-cohort (APC) model has been used less often. Here, we argue that it merits much broader use. First, we describe close connections between estimable functions of the model parameters and standard quantities such as the ASR, EAPC, and joinpoints. Estimable functions have the added value of being fully adjusted for period and cohort effects, and generally more precise. Second, the APC model provides the descriptive epidemiologist with powerful new tools, including rigorous statistical methods for comparative analyses, and the ability to project the future burden of cancer. We illustrate these principles by using invasive female breast cancer incidence in the United States, but these concepts apply equally well to other cancer sites for incidence or mortality.
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