Using integrated weighted survival difference for the two-sample censored data problem

DOI10.1016/j.csda.2008.02.022zbMath1452.62822OpenAlexW2067097715MaRDI QIDQ1023784

Seung-Hwan Lee, Bernard Oguna Omolo, Eun-Joo Lee

Publication date: 16 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2008.02.022

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Testing in survival analysis and censored data (62N03)

Related Items (2)

Comparing conditional survival functions with missing population marks in a competing risks model ⋮ A permutation test for the two-sample right-censored model

Cites Work

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• Nonparametric Estimation from Incomplete Observations
• Supremum Versions of the Log-Rank and Generalized Wilcoxon Statistics
• Checking the Cox model with cumulative sums of martingale-based residuals
• Confidence Bands for Survival Curves Under the Proportional Hazards Model
• Some Versatile Tests Based on the Simultaneous Use of Weighted Log-Rank Statistics
• Simultaneous Confidence Intervals for the Difference of Two Survival Functions
• The Versatility of Function-Indexed Weighted Log-Rank Statistics
• Some Scale Estimators and Lack-of-Fit Tests for the Censored Two-Sample Accelerated Life Model
• A generalized Wilcoxon test for comparing arbitrarily singly-censored samples

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