A log-rank-type test to compare net survival distributions

DOI10.1111/biom.12477zbMath1390.62262OpenAlexW2469958019WikidataQ40047978 ScholiaQ40047978MaRDI QIDQ2827187

Aurélien Belot, Nathalie Grafféo, Fabienne Castell, Roch Giorgi

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://researchonline.lshtm.ac.uk/id/eprint/2535271/1/Main_Revised2_TestToCompareNetSurvivalDistributions_Graffeo_Castell_Belot_Giorgi.pdf

zbMATH Keywords

stochastic processcancertestnet survivallog-ranknonparametric consistent estimatorpohar-perme estimator

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Reliability and life testing (62N05)

Related Items (1)

Correcting for heterogeneity and non‐comparability bias in multicenter clinical trials with a rescaled random‐effect excess hazard model

Uses Software

• R
• survival
• invGauss

Cites Work

• On Estimation in Relative Survival
• Survival and event history analysis. A process point of view
• A Parametric Estimate of the Standard Error of the Survival Rate
• A Two-Stage Procedure for Comparing Hazard Rate Functions
• A Two-Sample Censored-Data Rank Test for Acceleration
• Supremum Versions of the Log-Rank and Generalized Wilcoxon Statistics
• Modified Kolmogorov-Smirnov Test Procedures with Application to Arbitrarily Right-Censored Data
• Rank tests of maximal power against Lehmann-type alternatives
• Statistical models based on counting processes

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