The PharmaSUG 2018 conference was held two weeks ago, with great enthusiasm and a record attendance. The highlight for me was the large spread on visual presentation of data, from papers to poster presentations. I will provide a more detailed report on all the exciting graphical presentations. One topic of
At PharmaSUG 2014 in San Diego, I had the pleasure of attending "Swimmer Plot: Tell a Graphical Story of Your Time to Response Data Using PROC SGPLOT", by Stacey Phillips. In this paper, Stacey presented an interesting graph showing the effects of a study drug on patients' tumor size. Stacey
The ODS Graphics software, first released with SAS 9.2, supported creating graphs directly from statistical procedures. Prior to this, very few statistical procedures created graphs on their own, and in most cases creating graphs was a post process or creating the graphs from the saved data using SAS/GRAPH procedures. With
After almost 32 years, I am retiring from SAS.
A few days back I published an article on including more subject data in a Waterfall graph. This was motivated by the desire from many users to view more data in the same graph, thus avoiding the need to refer to different graphs for the relevant information. In this case,
Previously, I have written articles on how we could display more subject response data along with the traditional WaterFall graph showing the best "Change from Baseline". This is in response to the desire to see data like treatment duration for each subject in the same graph. Otherwise, investigators have to
Plot statements included in the graph definition can contribute to the legend(s). This can happen automatically, or can be customized using the KEYLEGEND statement. For plot statements that are classified by a group variable, all of the unique group values are displayed in the legend, along with their graphical representation
ODS Graphics procedures primarily strive towards the following goal: "Make simple graphs easy and complex graphs possible". SGPLOT procedure allows you create simple graphs with a single plot statement, and create complex graphs by layering together or combining multiple plot statements. Generally, the appearance follows the guidelines set by industry
On a recent visit to an In-House Users Group meeting at a Pharmaceutical company, I presented a 1/2 day seminar on creating Clinical Graphs using SG Procedures. Polling the audience for their experience with these procedures indicated that many SAS users are not familiar with these new ways to create graphs. So,
One of the key benefits of creating graphs using GTL or SG Procedures is their support of plot layering to create complex graphs and layouts. Most simple graphs can be created by a single plot statement like a Bar Chart. Complex graphs can be created by layering appropriate plot statements to
