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Abstract Details
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Activity Number:
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189
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section for Statistical Programmers and Analysts
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| Abstract - #301649 |
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Title:
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Displaying Small Sample Size Data Sets Effectively
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Author(s):
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Thomas E. Bradstreet and Shuping Zhang and Xingshu Zhu*+
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Companies:
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Merck & Co., Inc. and Merck & Co., Inc. and Merck & Co., Inc.
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Address:
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351 N. Sumneytown Pike, North Wales, PA, 19454,
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Keywords:
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sample size ;
dot plot
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Abstract:
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Visualizing individual data, empirical distributions, and summary statistics for small to moderate sized samples is critical for effective statistical analysis and inference in early phases of drug research. We present a customized SAS® macro, %HangingDotPlot, which displays dot charts with either parametric or nonparametric descriptive statistics and confidence intervals, for each of multiple bins of data displayed simultaneously on the same page. The flexibility and utility of the macro, including back-to-back dot chart presentations, is demonstrated with visual analogue scale data from human trials and swim maze testing data in rats.
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