Interval estimation of quantile ratios applied to anti-cancer drug screening by xenograft experiments
Article first published online: 25 AUG 2010
Copyright © 2010 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 29, Issue 26, pages 2669–2678, 20 November 2010
How to Cite
Cheng, C. and Wu, J. (2010), Interval estimation of quantile ratios applied to anti-cancer drug screening by xenograft experiments. Statist. Med., 29: 2669–2678. doi: 10.1002/sim.4038
- Issue published online: 20 OCT 2010
- Article first published online: 25 AUG 2010
- Manuscript Accepted: 30 JUN 2010
- Manuscript Received: 18 MAR 2009
- fold change;
- confidence interval;
- confidence bound;
- xenograft experiment
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. Copyright © 2010 John Wiley & Sons, Ltd.