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Hanging Dot Plots and identifying outliers in samples from asymmetrical populations with Hubert and Vandervieren's robust outlier rule

by: Thomas E. Bradstreet, Amy Gillespie, Shuping Zhang, Xingshu Zhu
WIREs Comp Stat, Vol. 5, No. 1. (1 January 2013), pp. 62-67, doi:10.1002/wics.1241  Key: citeulike:11861475

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Abstract

Visualizing individual data, empirical distributions, and summary statistics for small to moderate sized samples (≤ 500) is critical in early phases of drug research. We developed a customized SAS® macro, %HangingDotPlot, which displays dot plots with parametric or distribution-free descriptive statistics and confidence intervals simultaneously on the same page for multiple groups of data. Potential statistical outliers are identified with a fence rule adapted from an adjusted box plot for skewed distributions, which incorporates the medcouple, a robust measure of skewness. WIREs Comput Stat 2013, 5:62–67. doi: 10.1002/wics.1241


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