Rank tests for clustered survival data

DOI10.1023/A:1021869803601zbMath1116.62415OpenAlexW2107081052WikidataQ30771794 ScholiaQ30771794MaRDI QIDQ1423294

Sin-Ho Jung, Jong-Hyeon Jeong

Publication date: 14 February 2004

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1021869803601

zbMATH Keywords

Wilcoxon testcensoringlogrank testintracluster correlation

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15) Testing in survival analysis and censored data (62N03)

Related Items (5)

Group sequential testing for cluster randomized trials with time‐to‐event endpoint ⋮ Estimation and testing for clustered interval-censored bivariate survival data with application using the semi-parametric version of the Clayton-Oakes model ⋮ 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 ⋮ Analyzing survival curves at a fixed point in time for paired and clustered right-censored data ⋮ Confidence intervals for the difference between two median survival times for clustered survival data

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