Likelihood-Based Inference for Semi-Competing Risks
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Publication:5415908
DOI10.1080/03610918.2012.725495zbMath1291.62171OpenAlexW2085974500MaRDI QIDQ5415908
Stéphane Laurent, Catherine Legrand, Ingrid Van Keilegom, Cédric Heuchenne
Publication date: 19 May 2014
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://cdn.uclouvain.be/public/Exports%20reddot/stat/documents/ISBADP2011-22_Likelihood_based_inference_for_semi-competing_risks.pdf
bootstrapcopulassurvival analysismaximum likelihoodKaplan-Meier estimatordependent censoringnonparametric estimationsemi-competing risks
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Cites Work
- Maximum likelihood analysis of semicompeting risks data with semiparametric regression models
- On semi-competing risks data
- Statistical Analysis of Illness-Death Processes and Semicompeting Risks Data
- Competing Risks
- Efficient estimation of semiparametric transformation models for counting processes
- Marginal Regression Analysis for Semi‐Competing Risks Data Under Dependent Censoring
- The Analysis of Failure Times in the Presence of Competing Risks
- A simple nonparametric estimator of the bivariate survival function under univariate censoring
- Regression Modeling of Semicompeting Risks Data
- Estimating Survival and Association in a Semicompeting Risks Model
- Pseudo Self-Consistent Estimation of a Copula Model with Informative Censoring
- Estimation of Semiparametric Models when the Criterion Function Is Not Smooth
- Note on Extreme Values, Competing Risks and Semi-Markov Processes
- A copula-graphic estimator for the conditional survival function under dependent censoring
- A martingale approach to the copula-graphic estimator for the survival function under dependent censoring
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