Improving estimation efficiency for semi-competing risks data with partially observed terminal event

DOI10.1080/10485252.2016.1234051zbMath1348.62129OpenAlexW2521522960MaRDI QIDQ2832032

Menggang Yu

Publication date: 4 November 2016

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

Full work available at URL: https://doi.org/10.1080/10485252.2016.1234051

zbMATH Keywords

semi-competing riskscopula modeldouble samplinginformative dropout

Mathematics Subject Classification ID

Density estimation (62G07) Censored data models (62N01)

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Cites Work

• An introduction to copulas.
• On semi-competing risks data
• Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling
• Statistical Analysis of Illness-Death Processes and Semicompeting Risks Data
• Addressing an Idiosyncrasy in Estimating Survival Curves Using Double Sampling in the Presence of Self-Selected Right Censoring
• Regression Calibration in Semiparametric Accelerated Failure Time Models
• The Analysis of Failure Times in the Presence of Competing Risks
• A model for association in bivariate life tables and its application in epidemiological studies of familial tendency in chronic disease incidence
• A simple nonparametric estimator of the bivariate survival function under univariate censoring
• Adaption of bivariate frailty models for prediction, with application to biological markers as prognostic indicators
• Estimating the Association Parameter for Copula Models Under Dependent Censoring
• Marginal and Conditional Distribution Estimation from Double‐sampled Semi‐competing Risks Data
• Estimating Survival and Association in a Semicompeting Risks Model

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