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Literature DB >> 10851839

A two-stage estimator of the dependence parameter for the Clayton-Oakes model.

Abstract

This paper describes the properties of a two-stage estimator of the dependence parameter in the Clayton-Oakes multivariate failure time model. The parameter is estimated from a likelihood function in which the marginal hazard functions are replaced by estimates. The method extends the approach of Shih and Louis (1995) and Genest, Ghoudi and Rivest (1995) to allow the marginal hazard for failure times to follow a stratified Cox (1972) model. The method is computationally simple and under mild regularity conditions produces a consistent, asymptotically normal estimator.

Mesh：

Year: 2000 PMID： 10851839 DOI： 10.1023/a:1009664011060

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

5 in total

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Authors: J W Vaupel; K G Manton; E Stallard
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Authors: J H Shih; T A Louis
Journal: Biometrics Date: 1995-12 Impact factor: 2.571

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Authors: D Y Lin
Journal: Stat Med Date: 1994-11-15 Impact factor: 2.373

5. Estimating effects of proband characteristics on familial risk: II. The association between age at onset and familial risk in the Maryland schizophrenia sample.

Authors: A E Pulver; K Y Liang
Journal: Genet Epidemiol Date: 1991 Impact factor: 2.135

5 in total

17 in total

1. A Gaussian Copula Model for Multivariate Survival Data.

Authors: Megan Othus; Yi Li
Journal: Stat Biosci Date: 2010-12

2. A two-stage estimation in the Clayton-Oakes model with marginal linear transformation models for multivariate failure time data.

Authors: Chyong-Mei Chen; Chang-Yung Yu
Journal: Lifetime Data Anal Date: 2011-10-09 Impact factor: 1.588

A two-stage estimator of the dependence parameter for the Clayton-Oakes model.

1. Appendectomy in Australian twins.

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

3. Inferences on the association parameter in copula models for bivariate survival data.

4. Cox regression analysis of multivariate failure time data: the marginal approach.

5. Estimating effects of proband characteristics on familial risk: II. The association between age at onset and familial risk in the Maryland schizophrenia sample.

1. A Gaussian Copula Model for Multivariate Survival Data.

2. A two-stage estimation in the Clayton-Oakes model with marginal linear transformation models for multivariate failure time data.

3. On cross-odds ratio for multivariate competing risks data.

4. Non-parametric estimation of bivariate failure time associations in the presence of a competing risk.

5. Estimation in the positive stable shared frailty Cox proportional hazards model.

6. Two-stage estimation in copula models used in family studies.

7. Inference methods for correlated left truncated lifetimes: parent and offspring relations in an adoption study.

8. Likelihood ratio procedures and tests of fit in parametric and semiparametric copula models with censored data.

9. A competing risks model for correlated data based on the subdistribution hazard.

10. Estimating heritability for cause specific mortality based on twin studies.