On linear rank tests for truncated binomial randomization

DOI10.1016/j.spl.2004.12.005zbMath1067.62047OpenAlexW2023935599MaRDI QIDQ1776355

William F. Rosenberger, Yanqiong Zhang

Publication date: 12 May 2005

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2004.12.005

zbMATH Keywords

clinical trialsPermutation testLindeberg condition

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (4)

Saddle-point p-values and confidence intervals based on log-rank tests when dependent subunits of clustered survival data are randomized by random allocation design ⋮ On asymptotic normality of certain linear rank statistics ⋮ On asymptotic normality of the randomization-based logrank test ⋮ The weighted log-rank class under truncated binomial design: saddlepoint \(p\)-values and confidence intervals

Cites Work

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• Asymptotic inference with response-adaptive treatment allocation designs
• Significance tests with restricted randomization design
• Linear rank tests with right censored data
• Bias properties and nonparametric inference for truncated binomial randomization

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