Nonparametric models and methods for designs with dependent censored data: Part II

DOI10.1080/10485250410001656462zbMath1148.62305OpenAlexW2086020474MaRDI QIDQ4831095

Michael G. Akritas, John T. O'Gorman

Publication date: 20 December 2004

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

Full work available at URL: https://doi.org/10.1080/10485250410001656462

zbMATH Keywords

Kaplan-Meier estimatorrank testcorrelated survival datamartingales for counting processesH-class statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Censored data models (62N01) Testing in survival analysis and censored data (62N03)

Related Items (1)

Analyzing survival curves at a fixed point in time for paired and clustered right-censored data

Cites Work

• Unnamed Item
• Unnamed Item
• Large sample behaviour of the product-limit estimator on the whole line
• Strong embedding of the estimator of the distribution function under random censorship
• Rank tests for matched survival data
• The Kaplan-Meier estimate for dependent failure time observations
• A unified approach to rank tests for mixed models
• Asymptotic properties of Kaplan-Meier estimator for censored dependent data
• Nonparametric Models and Methods for Designs with Dependent Censored Data: Part I
• Using Weighted Kaplan-Meier Statistics in Nonparametric Comparisons of Paired Censored Survival Outcomes
• Weighted Kaplan-Meier Statistics: A Class of Distance Tests for Censored Survival Data
• Monitoring a general class of two-sample survival statistics with applications
• Duration of Ventilating Tubes: A Test for Comparing Two Clustered Samples of Censored Data

This page was built for publication: Nonparametric models and methods for designs with dependent censored data: Part II