Maximum of the weighted Kaplan–Meier tests for the two-sample censored data

DOI10.1080/00949651003627753zbMath1219.62078OpenAlexW1997680009MaRDI QIDQ3087831

Seung-Hwan Lee

Publication date: 17 August 2011

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949651003627753

zbMATH Keywords

survival distributionsweighted log-rank statisticsversatile test procedures

Mathematics Subject Classification ID

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

Related Items (2)

Comparing conditional survival functions with missing population marks in a competing risks model ⋮ Yang and Prentice model with piecewise exponential baseline distribution for modeling lifetime data with crossing survival curves

Cites Work

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• Some Scale Estimators and Lack-of-Fit Tests for the Censored Two-Sample Accelerated Life Model
• A Two-Sample Test Sensitive to Crossing Hazards in Uncensored and Singly Censored Data
• Small-Sample Results for the Kaplan-Meier Estimator
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples

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