ON THE ESTIMATION OF SURVIVAL FUNCTION UNDER RANDOM CENSORSHIP

DOI10.1081/STA-120004192zbMath1075.62637MaRDI QIDQ4449037

Agnieszka Rossa

Publication date: 4 February 2004

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

zbMATH Keywords

Monte Carlo simulationsCensored dataKaplan-Meier estimatorSurvival function estimation

Mathematics Subject Classification ID

Censored data models (62N01) Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02)

Related Items (1)

Estimators for Survival Function when Censoring Times are Known

Cites Work

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• A large sample study of the life table and product limit estimates under random censorship
• A Partially Parametric Estimator of Survival in the Presence of Randomly Censored Data
• A Reliability Distribution with Increasing, Decreasing, Constant and Bathtub-Shaped Failure Rates
• The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data Using GLIM
• A comparison of the bias in four versions of the product-limit estimator
• Analysis of Survival Data under the Proportional Hazards Model
• Piecewise Exponential Survival Trees with Time-Dependent Covariates
• A Comparison of Several Methods of Estimating the Survival Function When There is Extreme Right Censoring
• Marginal likelihoods based on Cox's regression and life model

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