Journal
STATISTICS IN MEDICINE
Volume 29, Issue 26, Pages 2669-2678Publisher
WILEY-BLACKWELL
DOI: 10.1002/sim.4038
Keywords
quantile median quartile; ratio; fold change; confidence interval confidence bound; xenograft experiment
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Funding
- National Cancer Institute [NO1-CM-42216, CA21765]
- American Lebanese and Syrian Associated Charities (ALSAC)
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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 developcd 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 Copyright (C) 2010 John Wiley & Sons, Ltd
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