A single risk approach to the semiparametric competing risks model with parametric Archimedean risk dependence
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Publication:6200952
DOI10.1016/J.JMVA.2023.105276OpenAlexW4388968934MaRDI QIDQ6200952
Publication date: 25 March 2024
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2023.105276
Censored data models (62N01) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
Cites Work
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- An introduction to copulas.
- Multivariate Archimedean copulas, \(d\)-monotone functions and \(\ell _{1}\)-norm symmetric distributions
- Flexible competing risks regression modeling and goodness-of-fit
- A conditional Koziol-Green model under dependent censoring
- When does bootstrap work! Asymptotic results and simulations
- Sieve maximum likelihood estimation for the proportional hazards model under informative censoring
- Competing risks copula models for unemployment duration: an application to a German Hartz reform
- Nonparametric estimation of competing risks models with covariates
- Properties of the marginal survival functions for dependent censored data under an assumed Archimedean copula
- Competing risks regression with dependent multiple spells: Monte Carlo evidence and an application to maternity leave
- A nested copula duration model for competing risks with multiple spells
- A Weibull model for dependent censoring
- Copula Modeling: An Introduction for Practitioners
- Identification of a competing risks model with unknown transformations of latent failure times
- On the identifiability of copulas in bivariate competing risks models
- Regression Survival Analysis with an Assumed Copula for Dependent Censoring: A Sensitivity Analysis Approach
- Copules archimédiennes et families de lois bidimensionnelles dont les marges sont données
- The identifiability of the competing risks model
- A nonidentifiability aspect of the problem of competing risks.
- Simple robust tests for scale differences in paired data
- Semiparametric Marginal Regression Analysis for Dependent Competing Risks Under an Assumed Copula
- The Identifiability of the Mixed Proportional Hazards Competing Risks Model
- Estimates of marginal survival for dependent competing risks based on an assumed copula
- Removing Cancer when it is Correlated with other Causes of Death
- Some properties of the bivariate lognormal distribution for reliability applications
- A copula-graphic estimator for the conditional survival function under dependent censoring
- Statistical models based on counting processes
- A martingale approach to the copula-graphic estimator for the survival function under dependent censoring
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