Strong approximations for dependent competing risks with independent censoring

Test ◽

10.1007/s11749-008-0113-y ◽

2008 ◽

Vol 18 (1) ◽

pp. 76-95 ◽

Author(s):

Ségolen Geffray

Keyword(s):

Competing Risks ◽

Strong Approximations ◽

Dependent Competing Risks ◽

Independent Censoring

Download Full-text

Statistical inference of adaptive type II progressive hybrid censored data with dependent competing risks under bivariate exponential distribution

Journal of Applied Statistics ◽

10.1080/02664763.2021.1937961 ◽

2021 ◽

pp. 1-21

Author(s):

Yuge Du ◽

Wenhao Gui

Keyword(s):

Statistical Inference ◽

Exponential Distribution ◽

Competing Risks ◽

Censored Data ◽

Type Ii ◽

Bivariate Exponential Distribution ◽

Bivariate Exponential ◽

Dependent Competing Risks

Download Full-text

26 Bounds on joint survival probabilities with positively dependent competing risks

Handbook of Statistics - Bioenvironmental and Public Health Statistics ◽

10.1016/s0169-7161(00)18028-9 ◽

2000 ◽

pp. 783-801

Author(s):

Sanat K. Sarkar ◽

Kalyan Ghosh

Keyword(s):

Competing Risks ◽

Survival Probabilities ◽

Dependent Competing Risks

Download Full-text

Statistical Methods for Dependent Competing Risks

Lifetime Data: Models in Reliability and Survival Analysis ◽

10.1007/978-1-4757-5654-8_31 ◽

1996 ◽

pp. 233-242 ◽

Author(s):

M. L. Moeschberger ◽

John P. Klein

Keyword(s):

Statistical Methods ◽

Competing Risks ◽

Dependent Competing Risks

Download Full-text

Nonparametric Estimation of Survival Functions under Dependent Competing Risks

Nonparametric Functional Estimation and Related Topics ◽

10.1007/978-94-011-3222-0_33 ◽

1991 ◽

pp. 431-441

Author(s):

M. Bhaskara Rao ◽

G. Jogesh Babu ◽

C. Radhakrishna Rao

Keyword(s):

Competing Risks ◽

Nonparametric Estimation ◽

Survival Functions ◽

Dependent Competing Risks

Download Full-text

A bivariate inverse generalized exponential distribution and its applications in dependent competing risks model

Communications in Statistics - Simulation and Computation ◽

10.1080/03610918.2020.1821888 ◽

2020 ◽

pp. 1-18

Author(s):

Fatemah A. Alqallaf ◽

Debasis Kundu

Keyword(s):

Exponential Distribution ◽

Competing Risks ◽

Generalized Exponential Distribution ◽

Competing Risks Model ◽

Dependent Competing Risks

Download Full-text

A Copula Model for Dependent Competing Risks

SSRN Electronic Journal ◽

10.2139/ssrn.1348015 ◽

2009 ◽

Author(s):

Simon Lo ◽

Ralf A. Wilke

Keyword(s):

Competing Risks ◽

Copula Model ◽

Dependent Competing Risks

Download Full-text

Structurally dependent competing risks

Economics Letters ◽

10.1016/s0165-1765(01)00480-3 ◽

2001 ◽

Vol 73 (2) ◽

pp. 169-173 ◽

Author(s):

Michael Rosholm ◽

Michael Svarer

Keyword(s):

Competing Risks ◽

Dependent Competing Risks

Download Full-text

Estimation of the Frank copula model for dependent competing risks in accelerated life testing

International Journal of Systems Assurance Engineering and Management ◽

10.1007/s13198-016-0548-6 ◽

2016 ◽

Author(s):

Herbert Hove ◽

Frank Beichelt ◽

Parmod K. Kapur

Keyword(s):

Competing Risks ◽

Accelerated Life Testing ◽

Copula Model ◽

Life Testing ◽

Accelerated Life ◽

Frank Copula ◽

Dependent Competing Risks

Download Full-text

Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall–Olkin bivariate Weibull distribution

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2014.08.002 ◽

2015 ◽

Vol 82 ◽

pp. 19-34 ◽

Author(s):

S.H. Feizjavadian ◽

R. Hashemi

Keyword(s):

Weibull Distribution ◽

Competing Risks ◽

Hybrid Censoring ◽

Dependent Competing Risks ◽

Bivariate Weibull Distribution

Download Full-text

Statistical analysis of dependent competing risks model from Gompertz distribution under progressively hybrid censoring

SpringerPlus ◽

10.1186/s40064-016-3421-9 ◽

2016 ◽

Vol 5 (1) ◽

Author(s):

Yimin Shi ◽

Min Wu

Keyword(s):

Statistical Analysis ◽

Competing Risks ◽

Hybrid Censoring ◽

Gompertz Distribution ◽

Competing Risks Model ◽

Dependent Competing Risks

Download Full-text