Literature DB >> 3675723

Age, period and cohort models: the use of individual records.

C Robertson, P Boyle.   

Abstract

Problems with the interpretation of age-period-cohort models are discussed. If individual records are available for cancer incidence in Scotland, then a solution is obtainable. An example using incidence data for cancers of the lung and larynx in Scotland is presented to illustrate the models.

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Mesh：

Year:  1986        PMID： 3675723     DOI： 10.1002/sim.4780050517

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


  13 in total

1.  A multiphase method for estimating cohort effects in age-period contingency table data.

Authors:  Katherine M Keyes; Guohua Li
Journal:  Ann Epidemiol       Date:  2010-06-02       Impact factor: 3.797

2.  Effects of Birth Cohorts on the Irritable Bowel Syndrome Support Early-Life Risk Factors.

Authors:  Neil R Brummond; G Richard Locke; Rok Seon Choung; Joseph Y Chang; Cathy D Schleck; Alan R Zinsmeister; Nicholas J Talley
Journal:  Dig Dis Sci       Date:  2015-02-14       Impact factor: 3.199

3.  Age-period-cohort analysis of asthma prevalence among school children.

Authors:  Etsuji Okamoto; Eiichi Hata; Masako Kobayashi; Kenji Hayashi
Journal:  Environ Health Prev Med       Date:  2007-05       Impact factor: 3.674

4.  Age-Period-Cohort approaches to back-calculation of cancer incidence rate.

Authors:  Cheongeun Oh; Theodore R Holford
Journal:  Stat Med       Date:  2015-02-26       Impact factor: 2.373

5.  What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971-2006.

Authors:  Katherine M Keyes; Rebecca L Utz; Whitney Robinson; Guohua Li
Journal:  Soc Sci Med       Date:  2010-02-01       Impact factor: 4.634

6.  Trends in mortality from diabetes mellitus in Taiwan, 1960-1988.

Authors:  R S Lin; W C Lee
Journal:  Diabetologia       Date:  1992-10       Impact factor: 10.122

7.  Asthma deaths in England and Wales 1931-85: evidence for a true increase in asthma mortality.

Authors:  P Burney
Journal:  J Epidemiol Community Health       Date:  1988-12       Impact factor: 3.710

8.  Incidence trend of nasopharyngeal carcinoma from 1987 to 2011 in Sihui County, Guangdong Province, South China: an age-period-cohort analysis.

Authors:  Li-Fang Zhang; Yan-Hua Li; Shang-Hang Xie; Wei Ling; Sui-Hong Chen; Qing Liu; Qi-Hong Huang; Su-Mei Cao
Journal:  Chin J Cancer       Date:  2015-05-14

9.  Chagas disease mortality in Brazil: A Bayesian analysis of age-period-cohort effects and forecasts for two decades.

Authors:  Taynãna César Simões; Laiane Félix Borges; Auzenda Conceição Parreira de Assis; Maria Vitórias Silva; Juliano Dos Santos; Karina Cardoso Meira
Journal:  PLoS Negl Trop Dis       Date:  2018-09-28

10.  Will the Scottish Cancer Target for the year 2000 be met? The use of cancer registration and death records to predict future cancer incidence and mortality in Scotland.

Authors:  L Sharp; R J Black; C S Muir; I Gemmell; A R Finlayson; E F Harkness
Journal:  Br J Cancer       Date:  1996-05       Impact factor: 7.640
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