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A Picture is Worth a Thousand Words: Integrated Visualization of Clinical Data

Researchers in the Clinical domain are more interested in presenting their data and compiled text using visual graphics. This not only increases the clarity of the presentation, but also makes it easier for their target audience to understand the distribution of data and to draw inferences right away when they eyeball it at first glance. With this objective in mind, this paper will concentrate on how to produce various kinds of box plots with an integrated mean distribution and a reference line. We will be incorporating an array of BOXPLOT procedure options available to the user. We will also show how to annotate descriptive statistics and data outliers dynamically in a more efficient manner using SAS®9 PROC BOXPLOT options. Also covered is a discussion on powerful but simple techniques to incorporate the tabulated summary of statistics or a list report of outliers based on user business needs. These will be demonstrated in this paper on a case by case scenario with a visual presentation.