Literature DB >> 1164533

A review and critique of some models used in competing risk analysis.

M Gail.   

Abstract

We have introduced a notation which allows one to define competing risk models easily and to examine underlying assumptions. We have treated the actuarial model for competing risk in detail, comparing it with other models and giving useful variance formulae both for the case when times of death are available and for the case when they are not. The generality of these methods is illustrated by an example treating two dependent competing risks.

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Year:  1975        PMID: 1164533

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


  25 in total

1.  The use and interpretation of competing risks regression models.

Authors:  James J Dignam; Qiang Zhang; Masha Kocherginsky
Journal:  Clin Cancer Res       Date:  2012-01-26       Impact factor: 12.531

2.  Years of life lost due to Huntington disease.

Authors:  M B Jones
Journal:  Am J Hum Genet       Date:  1979-11       Impact factor: 11.025

3.  How to deal with lost to follow-up in total knee arthroplasty : a new method based on the competing risks approach.

Authors:  Klaas-Auke Nouta; Bart G Pijls; Marta Fiocco; J Christiaan Keurentjes; Rob G H H Nelissen
Journal:  Int Orthop       Date:  2013-12-05       Impact factor: 3.075

4.  Score tests for independence in semiparametric competing risks models.

Authors:  Mériem Saïd; Nadia Ghazzali; Louis-Paul Rivest
Journal:  Lifetime Data Anal       Date:  2009-08-28       Impact factor: 1.588

5.  Life table techniques for multiple-cause mortality.

Authors:  K G Manton; D H Tolley; S S Poss
Journal:  Demography       Date:  1976-11

6.  A test for independence of competing risks with discrete failure times.

Authors:  M Crowder
Journal:  Lifetime Data Anal       Date:  1997       Impact factor: 1.588

Review 7.  Statistical methods for dependent competing risks.

Authors:  M L Moeschberger; J P Klein
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

8.  On assessing independence of competing risks when failure times are discrete.

Authors:  M Crowder
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588

9.  Effects of dependency among causes of death for cause elimination life table strategies.

Authors:  K G Manton; S S Poss
Journal:  Demography       Date:  1979-05

10.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

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