2013 SAS Super Demos

SAS Super Demos are live 30-minute software demonstrations provided by experts from SAS Institute. Super Demos will run through each morning of the conference in our Demo Theater and cover a variety of topics. The Demo Theater is located in Chicago Ballroom A and is accessible from the main Exhibit and Demo Room. Seating is limited, so come early!

Please note that this schedule is subject to change. Last update: 06-May-2013.

Time Presentation Presenter Abstract
Monday, May 13
9:15am Clinical Graphs Using SAS ODS Graphics Sanjay Matange Do you wish you could create modern clinical graphs using SAS? Have you heard that it is difficult to create such graphs using SAS? If the answer is yes to any of these questions, this demo is for you. Here we will see how to create graphs used in the health and life sciences industry, using SG procedures and GTL. We will also review some useful features in SAS 9.3. Some of the graphs we will create are: Adverse Events by Treatment Sorted by Relative Risk, Median of Lipid Profile by Treatment and Visit, LFT Patient Profile, Panel of LFT Shift from Baseline, Matrix Display of Maximum LFT Values, Adverse Event Timeline, Medications and Vital Signs by Time.
9:45am Quick Results with SAS ODS Graphics Designer Sanjay Matange You just got the study results and want to get some quick graphical views of the data before you begin the analysis. Do you need a crash course in the SG procedures or export your data to another application just to get a quick graph? What to do? The SAS ODS Graphics Designer is the answer. With this application you can create many graphs for clinical research or business application using an interactive drag-and-drop process. In addition to getting your graph right away, you can also render your graph in batch with new data and output the results to any open destination. You can view the generated GTL code as a leg up to GTL programming.
10:15am Using the SAS® Clinical Standards Toolkit 1.5 for define.xml creation Lex Jansen This Super Demo will show how the SAS Clinical Standards Toolkit can be used to create a define.xml from SDTM and ADaM source metadata, including Value Level Metadata.
10:45am Doing More with Metadata Janet Stuelpner SAS Clinical Data Integration uses valuable metadata to do many things. From impact analysis to compliance checks and the creation of the CRT-DDS that is required for submissions. In this demonstration, the value of the metadata is explored.
11:15am SAS Visual Analytics Leah Lehman This presentation demonstrates how SAS Visual Analytics 6.1 can be used to explore and monitor clinical trial data to gain a better understanding of drug safety and efficacy profiles and track the status of clinical studies.
Tuesday, May 14
9:00am ODS and Traffic lighting for PROC PRINT, REPORT and PROC TABULATE Cynthia Zender The Output Delivery System (ODS) used with PROC PRINT, REPORT, and PROC TABULATE makes "traffic lighting" or highlighting of various output items easy to do. Find out how!
9:30am Clinical Graphs Using SAS ODS Graphics Sanjay Matange Do you wish you could create modern clinical graphs using SAS? Have you heard that it is difficult to create such graphs using SAS? If the answer is yes to any of these questions, this demo is for you. Here we will see how to create graphs used in the health and life sciences industry, using SG procedures and GTL. We will also review some useful features in SAS 9.3. Some of the graphs we will create are: Adverse Events by Treatment Sorted by Relative Risk, Median of Lipid Profile by Treatment and Visit, LFT Patient Profile, Panel of LFT Shift from Baseline, Matrix Display of Maximum LFT Values, Adverse Event Timeline, Medications and Vital Signs by Time.
10:15am Introducing PROC QUANTSELECT Warren Kuhfeld Learn about this new procedure for quantile regression with variable selection.
10:45am Doing More with Metadata Janet Stuelpner SAS Clinical Data Integration uses valuable metadata to do many things. From impact analysis to compliance checks and the creation of the CRT-DDS that is required for submissions. In this demonstration, the value of the metadata is explored.
11:15am SAS Visual Analytics Leah Lehman This presentation demonstrates how SAS Visual Analytics 6.1 can be used to explore and monitor clinical trial data to gain a better understanding of drug safety and efficacy profiles and track the status of clinical studies.
Wednesday, May 15
8:00am Doing More with Metadata Janet Stuelpner SAS Clinical Data Integration uses valuable metadata to do many things. From impact analysis to compliance checks and the creation of the CRT-DDS that is required for submissions. In this demonstration, the value of the metadata is explored.
8:30am Introducing the New ADAPTIVEREG Procedure for Adaptive Regression Warren Kuhfeld Learn about this new procedure for multivariate adaptive regression splines.
9:00am Using the SAS® Clinical Standards Toolkit 1.5 for define.xml creation Lex Jansen This Super Demo will show how the SAS Clinical Standards Toolkit can be used to create a define.xml from SDTM and ADaM source metadata, including Value Level Metadata.
9:30am Quick Results with SAS ODS Graphics Designer Sanjay Matange You just got the study results and want to get some quick graphical views of the data before you begin the analysis. Do you need a crash course in the SG procedures or export your data to another application just to get a quick graph? What to do? The SAS ODS Graphics Designer is the answer. With this application you can create many graphs for clinical research or business application using an interactive drag-and-drop process. In addition to getting your graph right away, you can also render your graph in batch with new data and output the results to any open destination. You can view the generated GTL code as a leg up to GTL programming.
10:15am SAS Visual Analytics Leah Lehman This presentation demonstrates how SAS Visual Analytics 6.1 can be used to explore and monitor clinical trial data to gain a better understanding of drug safety and efficacy profiles and track the status of clinical studies.