Literature DB >> 17177166

Age-period-cohort models for the Lexis diagram.

B Carstensen1.   

Abstract

Analysis of rates from disease registers are often reported inadequately because of too coarse tabulation of data and because of confusion about the mechanics of the age-period-cohort model used for analysis. Rates should be considered as observations in a Lexis diagram, and tabulation a necessary reduction of data, which should be as small as possible, and age, period and cohort should be treated as continuous variables. Reporting should include the absolute level of the rates as part of the age-effects. This paper gives a guide to analysis of rates from a Lexis diagram by the age-period-cohort model. Three aspects are considered separately: (1) tabulation of cases and person-years; (2) modelling of age, period and cohort effects; and (3) parametrization and reporting of the estimated effects. It is argued that most of the confusion in the literature comes from failure to make a clear distinction between these three aspects. A set of recommendations for the practitioner is given and a package for R that implements the recommendations is introduced. Copyright 2006 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2007        PMID: 17177166     DOI: 10.1002/sim.2764

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  113 in total

1.  An age-period-cohort analysis of cancer incidence among the oldest old, Utah 1973-2002.

Authors:  Heidi A Hanson; Ken R Smith; Antoinette M Stroup; C Janna Harrell
Journal:  Popul Stud (Camb)       Date:  2014-11-14

2.  Declining rates of hepatocellular carcinoma in urban Shanghai: incidence trends in 1976-2005.

Authors:  Shan Gao; Wan-Shui Yang; Freddie Bray; Puthiery Va; Wei Zhang; Jing Gao; Yong-Bing Xiang
Journal:  Eur J Epidemiol       Date:  2011-12-10       Impact factor: 8.082

3.  Mortality of colorectal cancer in Taiwan, 1971-2010: temporal changes and age-period-cohort analysis.

Authors:  Shih-Yung Su; Jing-Yang Huang; Zhi-Hong Jian; Chien-Chang Ho; Chia-Chi Lung; Yung-Po Liaw
Journal:  Int J Colorectal Dis       Date:  2012-07-08       Impact factor: 2.571

4.  Radiation risk of central nervous system tumors in the Life Span Study of atomic bomb survivors, 1958-2009.

Authors:  Alina V Brenner; Hiromi Sugiyama; Dale L Preston; Ritsu Sakata; Benjamin French; Atsuko Sadakane; Elizabeth K Cahoon; Mai Utada; Kiyohiko Mabuchi; Kotaro Ozasa
Journal:  Eur J Epidemiol       Date:  2020-01-25       Impact factor: 8.082

5.  Contribution of Breast Cancer to Overall Mortality for US Women.

Authors:  Ronald E Gangnon; Natasha K Stout; Oguzhan Alagoz; John M Hampton; Brian L Sprague; Amy Trentham-Dietz
Journal:  Med Decis Making       Date:  2018-04       Impact factor: 2.583

6.  Changes in age trajectories of smoking experimentation during the California Tobacco Control Program.

Authors:  Karen Messer; John P Pierce
Journal:  Am J Public Health       Date:  2009-11-17       Impact factor: 9.308

7.  Are incidence rates of adult leukemia in the United States significantly associated with birth cohort?

Authors:  Philip S Rosenberg; Katherine L Wilson; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-12       Impact factor: 4.254

8.  Age-period-cohort modelling of non-Hodgkin's lymphoma incidence in a French region: a period effect compatible with an environmental exposure.

Authors:  Jean-François Viel; Evelyne Fournier; Arlette Danzon
Journal:  Environ Health       Date:  2010-08-08       Impact factor: 5.984

9.  Age-period-cohort analysis of 1990-2003 incidence time trends of childhood diabetes in Italy: the RIDI study.

Authors:  Graziella Bruno; Milena Maule; Franco Merletti; Giulia Novelli; Alberto Falorni; Antonio Iannilli; Lorenzo Iughetti; Emma Altobelli; Giuseppe d'Annunzio; Silvano Piffer; Paolo Pozzilli; Dario Iafusco; Marco Songini; Federico Roncarolo; Sonia Toni; Flavia Carle; Valentino Cherubini
Journal:  Diabetes       Date:  2010-06-21       Impact factor: 9.461

10.  Time trends in exposure of cattle to bovine spongiform encephalopathy and cohort effect in France and Italy: value of the classical Age-Period-Cohort approach.

Authors:  Carole Sala; Giuseppe Ru
Journal:  BMC Vet Res       Date:  2009-09-18       Impact factor: 2.741

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.