Literature DB >> 9384644

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

M Crowder1.   

Abstract

The traditional approach to modelling for Competing Risks, via a multivariate distribution of latent failure times, is very natural for many applications but suffers from a well-documented problem of identifiability. However, the demonstrations of this problem in the literature apply to essentially continuous latent failure times where any atoms of probability in their distributions are not too intrusive. It is shown in this paper that for discrete failure times the classic results on the identifiability problem concerning the existence of equivalent independent risks are incomplete.

Mesh:

Year:  1996        PMID: 9384644     DOI: 10.1007/bf00128575

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  4 in total

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

Authors:  M Gail
Journal:  Biometrics       Date:  1975-03       Impact factor: 2.571

2.  A nonidentifiability aspect of the problem of competing risks.

Authors:  A Tsiatis
Journal:  Proc Natl Acad Sci U S A       Date:  1975-01       Impact factor: 11.205

3.  Bounds for a joint distribution function with fixed sub-distribution functions: Application to competing risks.

Authors:  A V Peterson
Journal:  Proc Natl Acad Sci U S A       Date:  1976-01       Impact factor: 11.205

4.  The analysis of failure times in the presence of competing risks.

Authors:  R L Prentice; J D Kalbfleisch; A V Peterson; N Flournoy; V T Farewell; N E Breslow
Journal:  Biometrics       Date:  1978-12       Impact factor: 2.571

  4 in total
  2 in total

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

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

2.  Inference on latent factor models for informative censoring.

Authors:  Francesco Ungolo; Edwin R van den Heuvel
Journal:  Stat Methods Med Res       Date:  2022-01-25       Impact factor: 3.021

  2 in total

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