Literature DB >> 10650741

Generalized proportional hazards model based on modified partial likelihood.

V B Bagdonavicius1, M S Nikulin.   

Abstract

The proportional hazards (Cox) model is generalized by assuming that at any moment the ratio of hazard rates is depending not only on values of covariates but also on resources used until this moment. Relations with generalized multiplicative, frailty and linear transformation models are considered. A modified partial likelihood function is proposed, and properties of the estimators are investigated.

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Year:  1999        PMID： 10650741     DOI： 10.1023/a:1009688109364

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


  2 in total

Review 1.  Frailty models for survival data.

Authors:  P Hougaard
Journal:  Lifetime Data Anal       Date:  1995       Impact factor: 1.588

2.  The impact of heterogeneity in individual frailty on the dynamics of mortality.

Authors:  J W Vaupel; K G Manton; E Stallard
Journal:  Demography       Date:  1979-08
  2 in total
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1.  On Asymptotically Optimal Tests Under Loss of Identifiability in Semiparametric Models.

Authors:  Rui Song; Michael R Kosorok; Jason P Fine
Journal:  Ann Stat       Date:  2009-10       Impact factor: 4.028

2.  Cox regression with missing covariate data using a modified partial likelihood method.

Authors:  Torben Martinussen; Klaus K Holst; Thomas H Scheike
Journal:  Lifetime Data Anal       Date:  2015-10-22       Impact factor: 1.588

3.  A basis approach to goodness-of-fit testing in recurrent event models.

Authors:  Ma Zenia N Agustin; Edsel A Peña
Journal:  J Stat Plan Inference       Date:  2005-08       Impact factor: 1.111

4.  A flexible semiparametric transformation model for survival data.

Authors:  Thomas H Scheike
Journal:  Lifetime Data Anal       Date:  2006-09-20       Impact factor: 1.588

5.  Estimation in a semi-Markov transformation model.

Authors:  Dorota M Dabrowska
Journal:  Int J Biostat       Date:  2012-06-22       Impact factor: 0.968

6.  A class of Box-Cox transformation models for recurrent event data.

Authors:  Liuquan Sun; Xingwei Tong; Xian Zhou
Journal:  Lifetime Data Anal       Date:  2011-04       Impact factor: 1.588

7.  The additive risk model for estimation of effect of haplotype match in BMT studies.

Authors:  Thomas H Scheike; Torben Martinussen; Mei-Jie Zhang
Journal:  Scand Stat Theory Appl       Date:  2011-09       Impact factor: 1.396

8.  A joint model of cancer incidence, metastasis, and mortality.

Authors:  Qui Tran; Kelley M Kidwell; Alex Tsodikov
Journal:  Lifetime Data Anal       Date:  2017-09-04       Impact factor: 1.588
  8 in total

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