
Assistant Professor
Dept. of Biostatistics
School of Public Health and Health Professions
University at Buffalo
South Campus
University at Buffalo
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.
ACCREDITATION: The University at Buffalo Jacobs School of Medicine and Biomedical Sciences is accredited by the ACCME to provide continuing medical education for physicians.
CERTIFICATION: The University at Buffalo Jacobs School of Medicine and Biomedical Sciences designates this live activity for a maximum of 2.0 AMA PRA Category 1 Credit(s)TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
CREDIT: This program is supported by the National Center for Advancing Translational Sciences of the National Institutes of Health under award number UL1TR001412.