Estimators for Survival Function when Censoring Times are Known

DOI10.1081/STA-200047455zbMath1062.62226OpenAlexW1974258748MaRDI QIDQ4678825

Jian Tian Wang, Yingfu Li

Publication date: 23 May 2005

Published in: Communications in Statistics: Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1081/sta-200047455

zbMATH Keywords

survival analysisasymptotic varianceMartingaleKaplan-Meier estimator

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Estimation in survival analysis and censored data (62N02)

Related Items (2)

Nonparametric estimation of a conditional distribution from length-biased data ⋮ Selection of suitable prior for the Bayesian mixture of a class of lifetime distributions under type-I censored datasets

Cites Work

• Unnamed Item
• A large sample study of the life table and product limit estimates under random censorship
• Nonparametric Estimation from Incomplete Observations
• A note on nonparametric estimators of the bivariate survival function under univariate censoring
• An unbiased estimator for the survival function of censored data
• ON THE ESTIMATION OF SURVIVAL FUNCTION UNDER RANDOM CENSORSHIP
• A SIMPLE IMPROVEMENT OF THE KAPLAN-MEIER ESTIMATOR
• Estimating the Mean of an Increasing Stochastic Process at a Censored Stopping Time

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