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• W2938800918 abstract "We discuss the multivariate (2L-variate) correlation structure and the asymptotic distribution for the group-sequential weighted logrank statistics formulated when monitoring two correlated event-time outcomes in clinical trials. The asymptotic distribution and the variance–covariance for the 2L-variate weighted logrank statistic are derived as available in various group-sequential trial designs. These methods are used to determine a group-sequential testing procedure based on calendar times or information fractions. We apply the theoretical results to a group-sequential method for monitoring a clinical trial with early stopping for efficacy when the trial is designed to evaluate the joint effect on two correlated event-time outcomes. We illustrate the method with application to a clinical trial and describe how to calculate the required sample sizes and numbers of events." @default.
• W2938800918 created "2019-04-25" @default.
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• W2938800918 date "2019-04-12" @default.
• W2938800918 modified "2023-10-17" @default.
• W2938800918 title "Group-sequential logrank methods for trial designs using bivariate non-competing event-time outcomes" @default.
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• W2938800918 doi "https://doi.org/10.1007/s10985-019-09470-4" @default.
• W2938800918 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7517875" @default.
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