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Age–period–cohort models of chronic disease rates. II: graphical approaches
Author(s) -
Robertson Chris,
Boyle Peter
Publication year - 1998
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19980630)17:12<1325::aid-sim854>3.0.co;2-r
Subject(s) - cohort , smoothing , computer science , strengths and weaknesses , graphical model , period (music) , biplot , statistics , chronic disease , econometrics , medicine , artificial intelligence , mathematics , intensive care medicine , psychology , biology , social psychology , biochemistry , physics , acoustics , genotype , gene
Abstract In a companion article we have reviewed a number of available modelling approaches employed in estimating the influence of age, period and cohort effects on chronic disease rates. Here we review some of the graphical methods for displaying disease rates with a view to extracting information about the separate and joint effects of age, period and cohort. The more traditional displays such as line charts are compared to approaches based on smoothing and two‐ and three‐dimensional plots which have recently been proposed. Other graphical techniques which are principally concerned with displaying interactions, such as biplots and correspondence analysis, are also considered. These techniques are illustrated with examples to compare the techniques revealing their strengths and weaknesses. It is clear that graphical approaches can be useful tools in understanding the behaviour of chronic disease time trends. © 1998 John Wiley & Sons, Ltd.