Identification of the minimum effective dose for right-censored survival data

Yuh Ing Chen, Yu Mei Chang

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


In this paper, we consider identifying the minimum effective dose (MED) in a dose-response study when survival data are subject to random right-censorship, where the MED is defined to be the smallest dose level under study that has survival advantage over the zero-dose control. To this end, we suggest single-step-down testing procedures based on three different types of weighted logrank statistics, respectively. The comparative results of a Monte Carlo error rate and power/bias study for a variety of survival and censoring distributions are then presented and discussed. The application of the testing procedures for identifying the MED is finally illustrated by using a numerical example of prostate cancer data.

Original languageEnglish
Pages (from-to)3213-3222
Number of pages10
JournalComputational Statistics and Data Analysis
Issue number6
StatePublished - 1 Mar 2007


  • Closed test
  • Dose-response study
  • Minimum effective dose
  • Monte Carlo study
  • Right-censored data


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