Literature DB >> 3830258

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.   

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.

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Year:  1985        PMID: 3830258

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  23 in total

1.  Life table analysis for areas using vital register data.

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2.  Female breast cancer in Gipuzkoa: prognostic factors and survival.

Authors:  N Larrañaga; C Sarasqueta; P Martínez-Camblor; M J Mitxelena; A Mendiola; I Martínez-Pueyo; M Basterretxea
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3.  Baseline mortality-adjusted survival in colon cancer patients.

Authors:  Kristjan Ukegjini; Marcel Zadnikar; Rene Warschkow; Sascha Müller; Bruno M Schmied; Lukas Marti
Journal:  Langenbecks Arch Surg       Date:  2016-04-21       Impact factor: 3.445

4.  Mortality Prediction in ICUs Using A Novel Time-Slicing Cox Regression Method.

Authors:  Yuan Wang; Wenlin Chen; Kevin Heard; Marin H Kollef; Thomas C Bailey; Zhicheng Cui; Yujie He; Chenyang Lu; Yixin Chen
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

5.  Blood transfusion does not adversely affect survival after elective colon cancer resection: a propensity score analysis.

Authors:  Ignazio Tarantino; Kristjan Ukegjini; Rene Warschkow; Bruno M Schmied; Thomas Steffen; Alexis Ulrich; Sascha A Müller
Journal:  Langenbecks Arch Surg       Date:  2013-07-11       Impact factor: 3.445

6.  Long-term mortality in nationwide cohorts of childhood-onset type 1 diabetes in Japan and Finland.

Authors:  Keiko Asao; Cinzia Sarti; Tom Forsen; Valma Hyttinen; Rimei Nishimura; Masato Matsushima; Antti Reunanen; Jaakko Tuomilehto; Naoko Tajima
Journal:  Diabetes Care       Date:  2003-07       Impact factor: 19.112

7.  A class of transformation covariate regression models for estimating the excess hazard in relative survival analysis.

Authors:  Binbing Yu
Journal:  Am J Epidemiol       Date:  2013-03-13       Impact factor: 4.897

8.  Baseline mortality-adjusted survival in resected rectal cancer patients.

Authors:  Ignazio Tarantino; Sascha A Müller; Rene Warschkow; Yakup Kulu; Bruno M Schmied; Markus W Büchler; Alexis Ulrich
Journal:  J Gastrointest Surg       Date:  2014-08-05       Impact factor: 3.452

9.  Long-Term Survival is not Impaired After the Complete Resection of Neuroendocrine Tumors of the Appendix.

Authors:  Thomas Steffen; Sabrina M Ebinger; René Warschkow; Cornelia Lüthi; Bruno M Schmied; Thomas Clerici
Journal:  World J Surg       Date:  2015-11       Impact factor: 3.352

10.  Mortality of type 1 (insulin-dependent) diabetes mellitus in Denmark: a study of relative mortality in 2930 Danish type 1 diabetic patients diagnosed from 1933 to 1972.

Authors:  K Borch-Johnsen; S Kreiner; T Deckert
Journal:  Diabetologia       Date:  1986-11       Impact factor: 10.122

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