A Cox regression model for the relative mortality and its application to diabetes mellitus survival data.
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A Cox regression model for the relative mortality and its application to diabetes mellitus survival data. / Andersen, Per Kragh; Borch-Johnsen, Knut; Deckert, Torsten; Green, Anders; Hougaard, Philip; Keiding, Niels; Kreiner, Svend.
In: Biometrics, Vol. 41, No. 4, 12.1985, p. 921-932.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - A Cox regression model for the relative mortality and its application to diabetes mellitus survival data.
AU - Andersen, Per Kragh
AU - Borch-Johnsen, Knut
AU - Deckert, Torsten
AU - Green, Anders
AU - Hougaard, Philip
AU - Keiding, Niels
AU - Kreiner, Svend
PY - 1985/12
Y1 - 1985/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0022326912&partnerID=8YFLogxK
U2 - 10.2307/2530964
DO - 10.2307/2530964
M3 - Journal article
C2 - 3830258
AN - SCOPUS:0022326912
VL - 41
SP - 921
EP - 932
JO - Biometrics
JF - Biometrics
SN - 0006-341X
IS - 4
ER -
ID: 202377606