University at Buffalo (UB) Clinical and Translational Science Institute
Advancing research discoveries to improve health for all
This workshop will use concrete examples to illustrate the fundamental ingredients in survival analysis such as the Kaplan-Meier curve, the Log-Rank test, and the Cox proportional hazards model, as well as their implementations in SAS. The objectives of this workshop are:
1. Understand the concepts, the major tools and techniques in analyzing survival data
2. Know how to conduct survival data analysis using these tools in SAS
This workshop series is free and open to all students, fellows, faculty and staff at UB and the Buffalo Translational Consortium.
Himangi Marathe, PhD
Email: scholar1@buffalo.edu
Phone: 7168296268