Sample Sizes Based on the Log-Rank Statistic in Complex Clinical Trials

DOI10.2307/2531910zbMath0707.62262OpenAlexW2327667520WikidataQ52570205 ScholiaQ52570205MaRDI QIDQ118080

Edward Lakatos, Edward Lakatos

Publication date: March 1988

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2531910

zbMATH Keywords

noncompliancesample sizeMarkov processnonproportional hazardslog-rank statisticstaggered entryTarone-Ware classcomplex clinical trials

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (11)

The Influence of Biostatistics at the National Heart, Lung, and Blood Institute ⋮ Sample size calculation for clustered survival data under subunit randomization ⋮ Sample size calculation for the proportional hazards model with a time-dependent covariate ⋮ Calculation of Sample Size in Survival Trials: The Impact of Informative Noncompliance ⋮ Data monitoring in complex clinical trials: Which treatment is better? ⋮ Sample size calculation for two‐arm trials with time‐to‐event endpoint for nonproportional hazards using the concept of Relative Time when inference is built on comparing Weibull distributions ⋮ Sample size calculation for the combination test under nonproportional hazards ⋮ A note on variance estimation in the Cox proportional hazards model ⋮ The effect of grouping on the power of the Mantel-Haenszel test for the comparison of survival rates ⋮ A comparison of the constant piecewise weighted logrank and Fleming-Harrington tests ⋮ nphPower

This page was built for publication: Sample Sizes Based on the Log-Rank Statistic in Complex Clinical Trials