Interval estimation of quantile ratios applied to anti-cancer drug screening by xenograft experiments

Cheng Cheng, Jianrong Wu

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


The current practice in analyzing data from anti-cancer drug screening by xenograft experiments lacks statistical consideration to account for experimental noise, and a sound inference procedure is necessary. A novel confidence bound and interval procedure for estimating quantile ratios developed in this paper fills the void. Justified by rigorous large-sample theory and a simulation study of small-sample performance, the proposed method performs well in a wide range of scenarios involving right-skewed distributions. By providing rigorous inference and much more interpretable statistics that account for experimental noise, the proposed method improves the current practice of analyzing drug activity data in xenograft experiments. The proposed method is fully nonparametric, simple to compute, performs equally well or better than known nonparametric methods, and is applicable to any statistical inference of a 'fold change' that can be formulated as a quantile ratio.

Original languageEnglish
Pages (from-to)2669-2678
Number of pages10
JournalStatistics in Medicine
Issue number26
StatePublished - Nov 2010


  • Confidence bound
  • Confidence interval
  • Fold change
  • Median
  • Quantile
  • Quartile
  • Ratio
  • Xenograft experiment

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability


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