"Projecting prevalence rates by Age-Period-Cohort models for the Belgian population - opportunities and pitfalls"

Abstract:
Repeated cross-sectional health interview surveys provide important information on the health status of a specific region. However, because of their repeated cross-sectional nature, these data sources are not designed to have a long and enriched follow-up. Age-Period-Cohort modelling, or APC in short, allows to model trends over time based on cross-sectional data by creating synthetic birth cohorts. Based on the APC methodology, we can exploit the repeated cross-sectional nature of health interview surveys to provide long-term projections.

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