Build Popular Clinical Graphs using SASSanjay MatangeWaterfall Charts, Swimmer Plots, Survival Plots and Forest Plots are some of the most frequently requested graphs in clinical research. These graphs are easy to build with the SGPLOT procedure. What you need is a good plan, prepare the data as per this plan and use the right plot statements.
Animate your Data!Kriss HarrisThis hands-on workshop demonstrates how you can use animation in SAS 9.4 to report your safety data, using techniques such as visualizing a patients laboratory results, vital sign results, and electrocardiogram results and seeing how those safety results change over time.
Proc Lua and why you should know itRowland Hale, Syneos Health, Principal Statistical ProgrammerDuring this introductory workshop you will receive a grounding in the Lua language within SASs new procedure Proc Lua, which provides an implementation of the Lua scripting language and which offers a realistic and accessible alternative to the SAS Macro language for building SAS code dynamically.
Embrace Open-source Technology Haiping Yu, dMed Pandas is a powerful and flexible data analysis and manipulation tool, along with numerous versatile Python packages and community support, which make it pretty good at clinical data collection and tabulation stages.This workshop will bring basic tutorials of developing medical review tools from scratch by using Pandas and demonstrate how different SAS /SQL operations would be performed in Pandas.