A Cox regression model for the relative mortality and its application to diabetes mellitus survival data.

P. K. Andersen*, K. Borch-Johnsen, T. Deckert, A. Green, P. Hougaard, N. Keiding, S. Kreiner

*Corresponding author af dette arbejde

    Publikation: Bidrag til tidsskriftArtikelForskningpeer review

    Abstrakt

    A Cox-type regression model for the ratio between the mortality in a cohort and that in a reference population is introduced. By means of the model it is possible to include in the survival analysis both individual (possibly time-dependent) characteristics for the study cohort and changing trends in the mortality in the reference population. This is particularly relevant in long-term follow-up studies where there may be considerable changes in the mortality in the reference population. Estimation procedures in the model are discussed and large-sample properties of the estimators are outlined. The model is applied to the analysis of two sets of data concerning the survival among insulin-dependent diabetics in Denmark.

    OriginalsprogEngelsk
    Sider (fra-til)921-932
    Antal sider12
    TidsskriftBiometrics
    Vol/bind41
    Udgave nummer4
    DOI
    StatusUdgivet - dec. 1985

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    Udforsk hvilke forskningsemner 'A Cox regression model for the relative mortality and its application to diabetes mellitus survival data.' indeholder.

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