A nonparametric test for change in randomly censored data

نویسندگان

  • Edit GOMBAY
  • Shuangquan LIU
چکیده

A simple method for checking the assumption of identical distribution in a sequence of censored data is presented. It is based on a generalization of Wilcoxon’s rank statistic. The authors demonstrate the usefulness of this technique on the Stanford Heart Transplant and on the Radiation Therapy Oncology Group data. Easy to interpret plots give visual aid to interpret the type of change.

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تاریخ انتشار 1999