Nonparametric Tests for the Gap Time Distributions of Serial Events Based on Censored Data

DOI10.1111/j.0006-341X.2001.00369.xzbMath1209.62105WikidataQ30654588 ScholiaQ30654588MaRDI QIDQ3078739

Zhiliang Ying, D. Y. Lin

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

survival analysiscorrelated failure timesmultiple eventsKaplan-Meier estimatordependent censoringrecurrent eventslog-rank statistic

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01) Testing in survival analysis and censored data (62N03)

Related Items (7)

On Mann-Whitney tests for comparing sojourn time distributions when the transition times are right censored ⋮ Empirical likelihood confidence bands for mean functions of recurrent events with competing risks and a terminal event ⋮ Comparing waiting times in a multi-stage model: a log-rank approach ⋮ Nonparametric methods for analyzing recurrent gap time data with application to infections after hematopoietic cell transplant ⋮ A Joint Frailty Model for Survival and Gap Times Between Recurrent Events ⋮ Nonparametric analysis of bivariate gap time with competing risks ⋮ Non-parametric Tests for Recurrent Events under Competing Risks

Cites Work

• Weighted Kaplan-Meier Statistics: A Class of Distance Tests for Censored Survival Data
• Bivariate Exponential Distributions
• Two-Sample Tests of Cramér--von Mises- and Kolmogorov--Smirnov-Type for Randomly Censored Data
• Nonparametric estimation of successive duration times under dependent censoring
• Nonparametric estimation of the gap time distribution for serial events with censored data
• Checking the Cox model with cumulative sums of martingale-based residuals
• Nonparametric Estimation of a Recurrent Survival Function

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