Application de modèles relationnels pour le lissage de schémas d'incapacités

Translated title of the contribution: Applying Relational Models to the Graduation of Disability Schedules

Alan Marshall, Paul Norman, Ian Plewis

    Research output: Contribution to journalArticlepeer-review


    Age-specific rates of particular disability types are important for planning purposes and are a valuable input to estimates and projections of populations with different disabilities. However, survey estimates of schedules of disability rates display evidence of sampling variability and sub-national disability schedules are often unavailable for reasons of disclosure protection. This paper develops and evaluates a method to smooth sampling variability in national schedules of disability using a technique that has applicability to sub-national estimation of age-specific disability rates. Relational models are used to adjust the limiting long-term illness schedule for England (Census 2001) to represent different disability schedules (Health Survey for England 2000/2001) smoothing sampling fluctuations. For hearing disability a simple Brass relational model involving two parameters provides a good fit. For other disability types a modified version of the Ewbank relational model with three parameters is required. This paper illustrates that relational models can accurately capture the relationship between age-specific rates of limiting long-term illness and various disability types. © 2013 Springer Science+Business Media Dordrecht.
    Translated title of the contributionApplying Relational Models to the Graduation of Disability Schedules
    Original languageFrench
    Pages (from-to)467-491
    Number of pages24
    JournalEuropean Journal of Population
    Issue number4
    Publication statusPublished - Nov 2013


    • Disability
    • Estimation
    • Limiting long term illness
    • Relational model
    • Schedules


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