Age-period-cohort models for the Lexis diagram Export

@article{citeulike:2280751, 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 {\copyright} 2006 John Wiley \& Sons, Ltd.}, address = {Steno Diabetes Center, Niels Steensens Vej 2, DK 2820 Gentofte, Denmark}, author = {Carstensen, B.}, citeulike-article-id = {2280751}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/sim.2764}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/114025238/ABSTRACT}, doi = {10.1002/sim.2764}, journal = {Statistics in Medicine}, keywords = {age, apc, cohort, model, period}, number = {15}, pages = {3018--3045}, posted-at = {2008-01-23 14:20:33}, priority = {2}, title = {Age-period-cohort models for the Lexis diagram}, url = {http://dx.doi.org/10.1002/sim.2764}, volume = {26}, year = {2007} }

TY - JOUR ID - citeulike:2280751 L3 - citeulike-article-id:2280751 N2 - 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. IS - 15 JF - Statistics in Medicine AD - Steno Diabetes Center, Niels Steensens Vej 2, DK 2820 Gentofte, Denmark EP - 3045 TI - Age-period-cohort models for the Lexis diagram VL - 26 SP - 3018 KW - age KW - apc KW - cohort KW - model KW - period AU - Carstensen, B PY - 2007/// UR - http://dx.doi.org/10.1002/sim.2764 ER -