Estimation of Survival Distributions Under Right-Censoring When Sample Size is Random

DOI10.1080/07474940801989152zbMath1274.62658OpenAlexW2172266521MaRDI QIDQ3518367

Agnieszka Rossa

Publication date: 7 August 2008

Published in: Sequential Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/07474940801989152

zbMATH Keywords

survival analysissequential samplingKaplan-Meier estimatorNelson-Aalen estimatorright-censoring

Mathematics Subject Classification ID

Estimation in survival analysis and censored data (62N02) Sequential estimation (62L12)

Related Items (2)

The Nelson–Aalen and Kaplan–Meier Estimators Under a Sequential Sampling Scheme ⋮ Robust bias estimation for Kaplan-Meier survival estimator with jackknifing

Cites Work

• Nonparametric inference for a family of counting processes
• A large sample study of the life table and product limit estimates under random censorship
• Nonparametric Estimation from Incomplete Observations
• Sequential estimation of the mean survival time under random censorship
• The performance of a sequential procedure for the estimation of the median survival time with specified accuracy
• Estimating a scale parameter under censorship
• Expressing the Kaplan-Meier Estimator as a Function of Empirical Subsurvival Functions
• A Comparison of Survival Function Estimators in the Koziol–Green Model
• Small-Sample Results for the Kaplan-Meier Estimator
• The Kaplan–Meier Estimator as an Inverse-Probability-of-Censoring Weighted Average

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