On the identifiability of copulas in bivariate competing risks models

DOI10.1002/cjs.11179zbMath1273.62119arXiv1301.2212OpenAlexW3105237052MaRDI QIDQ2851568

Ingrid Van Keilegom, Geurt Jongbloed, Maik Schwarz

Publication date: 11 October 2013

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1301.2212

zbMATH Keywords

identificationcopulascompeting risksdependent censoringbivariate distributions

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Multivariate analysis (62H99) Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Survival analysis and censored data (62N99)

Related Items (7)

Competing risks driven by Mittag-Leffler distributions, under copula and time transformed exponential model ⋮ A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence ⋮ Copula modeling from Abe Sklar to the present day ⋮ Statistical analysis and application of competing risks model with regression ⋮ Properties of the marginal survival functions for dependent censored data under an assumed Archimedean copula ⋮ Assessing component reliability using lifetime data from systems ⋮ Estimation of location and scale functionals in nonparametric regression under copula dependent censoring

Cites Work

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• Constructing Archimedean copulas from diagonal sections
• An introduction to copulas.
• A conditional Koziol-Green model under dependent censoring
• Identifiability and censored data
• Dependent competing risks and summary survival curves
• Bounds on Net Survival Probabilities for Dependent Competing Risks
• A nonidentifiability aspect of the problem of competing risks.
• The Paradoxical Nature of The Proportional Hazards Model of Random Censorship
• Estimates of marginal survival for dependent competing risks based on an assumed copula
• New Families of Copulas Based on Periodic Functions
• A Multivariate Exponential Distribution
• A martingale approach to the copula-graphic estimator for the survival function under dependent censoring

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