Semiparametric estimation of distribution function in the informative model of competing risks

DOI10.1007/S10958-017-3578-YzbMath1383.62213OpenAlexW2761760954MaRDI QIDQ1694654

Peng Zhang

Publication date: 6 February 2018

Published in: Journal of Mathematical Sciences (New York) (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10958-017-3578-y

zbMATH Keywords

Kaplan-Meier estimatemodel of competing riskssemiparametric estimation of distribution

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Cites Work

• Unnamed Item
• Unnamed Item
• On generalized maximum likelihood estimation in the proportional hazards model with partially informative censoring
• Asymptotic properties of empirical processes from censored samples of random size
• Nonparametric estimation of the survival function from censored data based on relative risk function
• A Comparison of Survival Function Estimators in the Koziol–Green Model
• On Nonparametric Estimation of Reliability Indices
• The Paradoxical Nature of The Proportional Hazards Model of Random Censorship
• Estimating the survival function under a generalized Koziol-Green model with partially informative censoring.

This page was built for publication: Semiparametric estimation of distribution function in the informative model of competing risks