The Robustness of Several Estimators of the Survivorship Function with Randomly Censored Data

DOI10.1080/03610918908812808zbMath0695.62084OpenAlexW2018100630MaRDI QIDQ3471410

John P. Klein, Melvin L. Moeschberger

Publication date: 1989

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918908812808

zbMATH Keywords

product-limit estimatorcensoringnonparametric

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Point estimation (62F10)

Related Items (1)

Effects of model misspecification in estimating covariate effects in survival analysis for small sample sizes

Uses Software

• LLRANDOM

Cites Work

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• A heavy censoring limit theorem for the product limit estimator
• Nonparametric Estimation from Incomplete Observations
• What Price Kaplan-Meier?
• SOME SMALL–SAMPLE NON–PROPORTIONAL HAZARDS RESULIS FOR THE KAPLAN–MEIER ESTIMATOR
• Nonparametric Estimation With Censored Data From A Distributtion With Nonincreasing Density
• Bathtub and Related Failure Rate Characterizations
• An exponential power life-testing distribution
• Expressing the Kaplan-Meier Estimator as a Function of Empirical Subsurvival Functions
• Small-Sample Results for the Kaplan-Meier Estimator
• An Improved Marquardt Procedure for Nonlinear Regressions
• Linear Estimation of a Regression Relationship from Censored Data Part I: Simple Methods and Their Application

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