Survival analysis refers to statistical approaches addressing time to event data. These approaches specifically deal with censored data where it is, e.g., only known that a patient has survived up to a certain point in time but it remains unknown what happened thereafter.
Survival analysis does not only address true survival but any phenomenon following that basic framework: Time to discharge from hospital or time until a customer returns to a shop can all be addressed in the conceptual framework of survival analysis.
Keywords: time-to-event-data, censoring, hazard function, Kaplan-Meier estimation, Cox proportional hazards model, immortal time bias, late entry into the risk set, time-dependent covariates, shared frailty, competing risks, guidelines for reporting survival analyses in manuscripts.
This 2 credit hour course BIOE 868 Survival Analysis is offered in the Master of Science in Epidemiology program starting Jan. 9, 2019. The class will meet weekly on Wednesdays 1-4pm for a total of eight meetings. (Location is the Doctor’s Office Building, 66 N. Pauline, Memphis, TN, Rm400)
Registration for spring is now open!
(Course Director BIOE 868 Survival Analysis)
How to register:
A student that is in any of the UTHSC programs registers in banner directly: https://uthsc.edu/banner/info/
For non-degree students please complete a non-degree form located here: https://www.uthsc.edu/registrar/documents/non-degree-form.pdf
The registration for non-degree students’ needs to be initiated by the CGHS; please contact Elizabeth Webb: firstname.lastname@example.org)