Nonparametric inference for the proportionality function in the random censorship model

DOI10.1080/1048525031000089329zbMath1054.62110OpenAlexW2050663698MaRDI QIDQ4470112

Myles Hollander, Kai-Sheng Song, Glen Laird

Publication date: 22 June 2004

Published in: Journal of Nonparametric Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/1048525031000089329

zbMATH Keywords

Proportional hazards modelWeak convergenceUniform convergenceNonparametric estimationProportionality functionRandom censorship model

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Censored data models (62N01) Nonparametric tolerance and confidence regions (62G15) Estimation in survival analysis and censored data (62N02)

Cites Work

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• Survival analysis. Techniques for censored and truncated data
• A large sample study of the life table and product limit estimates under random censorship
• A note on the product-limit estimator under right censoring and left truncation
• Families of Confidence Bands for the Survival Function under the General Random Censorship Model and the Koziol-Green Model
• Censored Data and the Bootstrap
• Life Distributions
• A nonidentifiability aspect of the problem of competing risks.
• Expressing the Kaplan-Meier Estimator as a Function of Empirical Subsurvival Functions
• The Paradoxical Nature of The Proportional Hazards Model of Random Censorship
• Statistical models based on counting processes

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