Literature DB >> 4556703

A representation of mortality data by competing risks.

D G Hoel.   

Abstract

Mesh:

Year:  1972        PMID: 4556703

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


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  8 in total

1.  Comparing k cumulative incidence functions through resampling methods.

Authors:  Kam C Yuen; Lixing Zhu; Dixin Zhang
Journal:  Lifetime Data Anal       Date:  2002-12       Impact factor: 1.588

2.  Generalized supremum tests for the equality of cause specific hazard rates.

Authors:  Subhash C Kochar; K F Lam; Paul S F Yip
Journal:  Lifetime Data Anal       Date:  2002-09       Impact factor: 1.588

3.  Estimation of cumulative incidence functions when the lifetime distributions are uniformly stochastically ordered.

Authors:  Noriah M A Al-Kandari; Emad-Eldin A A Aly; Hammou El Barmi
Journal:  Lifetime Data Anal       Date:  2011-10-25       Impact factor: 1.588

4.  Bounds on the covariate-time transformation for competing-risks survival analysis.

Authors:  Simon J Bond; J Ewart H Shaw
Journal:  Lifetime Data Anal       Date:  2006-08-18       Impact factor: 1.588

5.  Conditional tests in a competing risks model.

Authors:  Solari Aldo; Luigi Salmaso; Hammou El Barmi; Fortunato Pesarin
Journal:  Lifetime Data Anal       Date:  2008-06       Impact factor: 1.588

6.  Exponentiated Weibull regression for time-to-event data.

Authors:  Shahedul A Khan
Journal:  Lifetime Data Anal       Date:  2017-03-27       Impact factor: 1.588

7.  Use of multiple causes of death in the analysis of occupational cohorts--an example from the oil industry.

Authors:  L Rushton
Journal:  Occup Environ Med       Date:  1994-11       Impact factor: 4.402

8.  E-Bayesian Estimation for the Weibull Distribution under Adaptive Type-I Progressive Hybrid Censored Competing Risks Data.

Authors:  Hassan Okasha; Abdelfattah Mustafa
Journal:  Entropy (Basel)       Date:  2020-08-17       Impact factor: 2.524

  8 in total

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