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

Per Kragh Andersen*, Knut Borch-Johnsen, Torsten Deckert, Anders Green, Philip Hougaard, Niels Keiding, Svend Kreiner

*Corresponding author for this work
88 Citations (Scopus)

Abstract

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.

Original languageEnglish
JournalBiometrics
Volume41
Issue number4
Pages (from-to)921-932
Number of pages12
ISSN0006-341X
DOIs
Publication statusPublished - Dec 1985

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