A review and comparison of age-period-cohort models for cancer incidence

Smith, T.R. and Wakefield, J. (2016) A review and comparison of age-period-cohort models for cancer incidence. Statistical Science, 31 (4). pp. 591-610. ISSN 0883-4237

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Abstract

Age-period-cohort models have been used to examine and forecast cancer incidence and mortality for over three decades. However, the fitting and interpretation of these models requires great care because of the well-known identifiability problem that exists; given any two of age, period, and cohort, the third is determined. In this paper, we review the identifiability problem and models that have been proposed for analysis, from both frequentist and Bayesian standpoints. A number of recent analyses that use age-period-cohort models are described and critiqued before data on cancer incidence inWashington State are analyzed with various models, including a new Bayesian approach based on an identifiable parameterization. © Institute of Mathematical Statistics, 2016.

Item Type:
Journal Article
Journal or Publication Title:
Statistical Science
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600
Subjects:
ID Code:
84960
Deposited By:
Deposited On:
28 Feb 2017 16:30
Refereed?:
Yes
Published?:
Published
Last Modified:
01 Dec 2020 04:28