Sample-size formula for clustered survival data using weighted log-rank statistics

DOI10.1093/biomet/91.2.263zbMath1081.62085OpenAlexW2090765937MaRDI QIDQ3367596

Ronald E. Gangnon, Michael R. Kosorok

Publication date: 24 January 2006

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/0f3408a30f2b9f31cbd8ce4c777d97e624088f4f

zbMATH Keywords

Sample sizeLocal alternativeClustered dataProportional hazardsPaired dataLog-rank statisticMartingale residuals

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Related Items (8)

Sample size calculation for clustered survival data under subunit randomization ⋮ Sample size determination for paired right-censored data based on the difference of Kaplan-Meier estimates ⋮ Power and sample size calculation for paired right-censored data based on survival copula models ⋮ Robust Covariate‐Adjusted Log‐Rank Statistics and Corresponding Sample Size Formula for Recurrent Events Data ⋮ Power, sample size and sampling costs for clustered data ⋮ Resolving the tail instability in weighted log-rank statistics for clustered survival data ⋮ Testing Goodness of Fit of a Uniform Truncation Model ⋮ A method to estimate intra-cluster correlation for clustered categorical data

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