Journal of Pharmacovigilance

Creating high quality statistical graphs for publications

4^th International Conference and Exhibition on Pharmacovigilance & Clinical Trials

August 10-12, 2015 London, UK

Kriss Harris

Scientific Tracks Abstracts: J Pharmacovigilance

Abstract:

Do you want to produce high quality graphs for publications or presentations? Do you want to add p-values on the graphs with annotations that show which groups are being compared? Do you want to learn more about the DPI option and how to use it? If you answered yes to any of the questions or have an interest in SAS Graphics then this paper is for you. This paper will demonstrate how to do the above plus show how to create first-rate Kaplan Meier Graphs, and Forest Plots using SAS® 9.3.

Biography :

Kriss Harris worked at GlaxoSmithKline for almost 6 years from 2005 to 2011 as a Statistician supporting drug discovery and pre-clinical development. Whilst at GSK, he developed an increasing passion for teaching and taught SAS Graphics, SAS Enterprise Guide and Discriminant Analysis to SAS Programmers, Statisticians and Scientists. Since then, he has moved on to become an independent Statistical Programmer and is now consulting at Eisai supporting late phase Oncology, which entails defining and creating ADaM datasets and using them to produce tables and figures. He has been an active participant at the SAS Global Forums and PharmaSUG Conferences and in 2010 was also awarded the title SAS Student Ambassador. At the moment he is also busy writing a book which details how SAS Graphics can be created from SDTM and ADaM data.