Monte carlo results for conditional survival tests under randomly censored data

DOI10.1080/00949659108811338zbMath0800.62742OpenAlexW2070233670MaRDI QIDQ3135448

Stephan Brenner, Arnold Janssen

Publication date: 7 October 1993

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

Full work available at URL: https://doi.org/10.1080/00949659108811338

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Monte Carlo methods (65C05) Probabilistic methods, stochastic differential equations (65C99)

Related Items

A method of constructing rank tests in survival analysis

Cites Work

• Local asymptotic normality for randomly censored models with applications to rank tests
• A class of rank test procedures for censored survival data
• Asymptotically optimal rank tests for the two-sample problem with randomly censored data
• Modified Kolmogorov-Smirnov Test Procedures with Application to Arbitrarily Right-Censored Data
• A Monte Carlo Study of Some Two-Sample Rank Tests with Censored Data
• Linear Nonparametric Tests for Comparison of Counting Processes, with Applications to Censored Survival Data, Correspondent Paper

This page was built for publication: Monte carlo results for conditional survival tests under randomly censored data