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

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

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.

I: Biometrics, Bind 41, Nr. 4, 12.1985, s. 921-932.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Andersen, PK, Borch-Johnsen, K, Deckert, T, Green, A, Hougaard, P, Keiding, N & Kreiner, S 1985, 'A Cox regression model for the relative mortality and its application to diabetes mellitus survival data.', Biometrics, bind 41, nr. 4, s. 921-932. https://doi.org/10.2307/2530964

APA

Andersen, P. K., Borch-Johnsen, K., Deckert, T., Green, A., Hougaard, P., Keiding, N., & Kreiner, S. (1985). A Cox regression model for the relative mortality and its application to diabetes mellitus survival data. Biometrics, 41(4), 921-932. https://doi.org/10.2307/2530964

Vancouver

Andersen PK, Borch-Johnsen K, Deckert T, Green A, Hougaard P, Keiding N o.a. A Cox regression model for the relative mortality and its application to diabetes mellitus survival data. Biometrics. 1985 dec.;41(4):921-932. https://doi.org/10.2307/2530964

Author

Andersen, Per Kragh ; Borch-Johnsen, Knut ; Deckert, Torsten ; Green, Anders ; Hougaard, Philip ; Keiding, Niels ; Kreiner, Svend. / A Cox regression model for the relative mortality and its application to diabetes mellitus survival data. I: Biometrics. 1985 ; Bind 41, Nr. 4. s. 921-932.

Bibtex

@article{8a02fa514344459992f544882e10874d,
title = "A Cox regression model for the relative mortality and its application to diabetes mellitus survival data.",
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.",
author = "Andersen, {Per Kragh} and Knut Borch-Johnsen and Torsten Deckert and Anders Green and Philip Hougaard and Niels Keiding and Svend Kreiner",
year = "1985",
month = dec,
doi = "10.2307/2530964",
language = "English",
volume = "41",
pages = "921--932",
journal = "Biometrics",
issn = "0006-341X",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

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