Level: Intermediate
【Presenter】
Kelci Miclaus, JMP Senior Manager Advanced Analytics R & D, SAS Institute Inc.
[Announcement summary]
Reporting, tracking, and analysis of adverse events that occur in subjects are important in the safety assessment of clinical trials. Many pharmaceutical companies and regulators who submit new drug applications use JMP Clinical to help assess this adverse event. The biometric analysis programming team may create static tables, listings, and diagrams for medical monitors and reviewers.
This leads to inefficiencies such as the inability of doctors who understand the medical consequences of the occurrence of a particular event to interact directly with the adverse event summary. However, even creating a simple count and frequency distribution of adverse events is not always easy. This presentation will focus on JMP Clinical's key reports on adverse event counts, frequency, incidence, and time-to-event output. JMP Clinical's unconventional reporting capabilities make it fully dynamic, even when performing complex calculations that rely heavily on JMP formulas, data filters, custom-scripted column switchers, and virtually joined tables. You can easily analyze adverse events.
[Presenter Profile]
Kelci Miclaus is the manager of JMP Life Sciences R & D, developing statistical capabilities for JMP Genomics and JMP Clinical software. She joined SAS in 2006 and holds a PhD in Statistics from North Carolina State University.
