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Flexible age-period-cohort modelling illustrated using obesity prevalence data.

Annette J DobsonRichard HockeyHsiu-Wen ChanGita Mishra
Published in: BMC medical research methodology (2020)
The methods illustrated here make the estimation and visualisation of age, period and cohort effects accessible and interpretable. Regardless of how the data are collected (from repeated cross-sectional surveys or longitudinal cohort studies), it is clear that younger generations of Australian women are becoming heavier at younger ages. Analyses of trends in obesity should include cohort, in addition to age and period, effects in order to focus preventive strategies appropriately.
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