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Methodological study demonstrates robust nonparametric confidence intervals for median survival under right censoring, indicating reliable estimation across diverse survival functions.
A nonparametric asymptotic confidence interval for the median survival time is developed for the case where data are subject to arbitrary right censoring. This is accomplished by inverting a generalization of the sign test for censored data. A simulation study shows that this nonparametric confidence interval performs well for a variety of underlying survival functions. The procedure is applied to data from a clinical trial that compared f'our dosage regimens of 5-uorouracil.
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Brookmeyer et al. (1982) studied this question.
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