The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Models for temporal variation in cancer rates. II: Age–period–cohort models
Abstract
Our first paper reviewed methods for modelling variation in cancer incidence and mortality rates in terms of either period effects or cohort effects in the general multiplicative risk model. There we drew attention to the difficulty of attributing regular trends to either period or cohort influences. In this paper we turn to the more realistic problem in which neither period nor cohort effects alone lead to an adequate description of the data. We describe the age‐period‐cohort model and show how its ambiguities surrounding regular trends ‘intensify’. We recommend methods for presenting the results of analyses based upon this model which minimize the serious risk of misleading implications and critically review previous suggestions. The discussion is illustrated by an analysis of breast cancer mortality in Japan with special reference to the phenomenon of ‘Clemmesen's hook’.
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Cites
Fritz, W. (1982) · Food / Nahrung · doi:10.1002/food.19820260329 · Cited by 824
Models for temporal variation in cancer rates. I: Age–period and age–cohort models
Clayton, D., & Schifflers, E. (1987) · Statistics in Medicine · doi:10.1002/sim.4780060405 · Cited by 685
Self-citationThe Estimation of Age, Period and Cohort Effects for Vital Rates
Holford, T. R. (1983) · Biometrics · doi:10.2307/2531004 · Cited by 603
Statistical age-period-cohort analysis: A review and critique
Kupper, L. L., Janis, J. M., Karmous, A., & Greenberg, B. G. (1985) · Journal of Chronic Diseases · doi:10.1016/0021-9681(85)90105-5 · Cited by 275
Multistage Models and Primary Prevention of Cancer
(1980) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/64.4.977 · Cited by 252
Age, period and cohort models applied to cancer mortality rates
Osmond, C., & Gardner, M. J. (1982) · Statistics in Medicine · doi:10.1002/sim.4780010306 · Cited by 244
Trends in cancer incidence: Causes and practical implications
(1983) · Food and Chemical Toxicology · doi:10.1016/0278-6915(83)90120-5 · Cited by 243
Breslow, N. E., & Day, N. E. (1975) · Journal of Chronic Diseases · doi:10.1016/0021-9681(75)90010-7 · Cited by 209
Effect of Age on Incidence of Breast Cancer in Females2
Moolgavkar, S. H., Stevens, R. G., & Lee, J. A. H. (1979) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/62.3.493 · Cited by 116
Age, period and cohort models: The use of individual records
Robertson, C., & Boyle, P. (1986) · Statistics in Medicine · doi:10.1002/sim.4780050517 · Cited by 85
Cited by
Patterson, C. C., Dahlquist, G. G., Gyürüs, E., Green, A., & Soltész, G. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60568-7 · Cited by 1,854
Pre-eclampsia rates in the United States, 1980-2010: age-period-cohort analysis
Ananth, C. V., Keyes, K. M., & Wapner, R. J. (2013) · BMJ · doi:10.1136/bmj.f6564 · Cited by 940
Galobardes, B. (2004) · Epidemiologic Reviews · doi:10.1093/epirev/mxh008 · Cited by 753
Riebler, A., & Held, L. (2017) · Biometrical Journal · doi:10.1002/bimj.201500263 · Cited by 624
The Intrinsic Estimator for Age‐Period‐Cohort Analysis: What It Is and How to Use It
Yang, Y., Schulhofer‐Wohl, S., Fu, W. J., & Land, K. C. (2008) · American Journal of Sociology · doi:10.1086/587154 · Cited by 503
Metadata
- Authors
- Clayton, D., & Schifflers, E.
- Venue
- Statistics in Medicine
- Publisher
- Wiley
- Published
- 1987-06
- Volume
- 6
- Issue
- 4
- Pages
- 469-481
- ISSN
- 0277-6715 (ISSN-L)
- 1097-0258
- OpenAlex
- W2139621631
- Cited by
- 916
- References
- 13
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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