In this complimentary Webcast, we introduce some of the features of JMP Clinical, the newest member of the JMP software family. Given clinical trials data that adhere to the CDISC SDTM model, JMP Clinical automatically generates dashboarded reports designed to dramatically streamline and enhance safety reviews. These reports enable rapid identification of important safety signals, interactive stratification of the sample, and the ability to drill down to view important details for individual patients. The point-and-click interface of JMP Clinical puts interactive visualization and analytics into the hands of those who review clinical trials data, without the need for programming.

Using the Basic Safety Workflow in JMP Clinical, Application Scientist Jordan Hiller demonstrates how to use JMP Clinical to review and analyze demographic variables, adverse events, concomitant medications and lab results. Advanced pattern discovery and predictive modeling techniques are also discussed. Hiller also describes methods for easily saving and sharing results with others.

See the schedule for upcoming live JMP Clinical Webcasts as well!

About the Presenter

Jordan Hiller is an Application Scientist for JMP Genomics. Before joining SAS in February 2008, Hiller worked at PDL BioPharma and Eos Biotechnology, where he analyzed gene expression microarrays for drug discovery and biomarker identification. He has been a SAS programmer for 10 years. He graduated magna cum laude from Harvard with a bachelor’s degree in psychology and holds a master’s degree in psychology from Boston University.

Technical Requirements

For optimum performance your computer should meet the following requirements:

Speakers (for sound)

16-bit color depth (or higher)

800x600 screen resolution or higher. Some videos may require 1024x768 screen resolution or higher.

Adobe Flash Player 10 or higher