Presented By: CSCAR Workshops
APPLIED SURVIVAL ANALYSIS: (EVENT HISTORY ANALYSIS, RELIABILITY ANALYSIS)
Instructor: Chris Andrews
This workshop covers basic concepts and common analytical approaches for time-to-event data, known variously as survival analysis (in biological and medical sciences), event history analysis (in social sciences), or reliability analysis (in engineering). The workshop will be held in a computer lab and methods will be illustrated with hands-on exercises in SAS, R, SPSS, and/or Stata, as needed. Topics include Kaplan-Meier estimation, two-sample comparisons, Cox proportional hazards regression, and discrete time models.
This workshop covers basic concepts and common analytical approaches for time-to-event data, known variously as survival analysis (in biological and medical sciences), event history analysis (in social sciences), or reliability analysis (in engineering). The workshop will be held in a computer lab and methods will be illustrated with hands-on exercises in SAS, R, SPSS, and/or Stata, as needed. Topics include Kaplan-Meier estimation, two-sample comparisons, Cox proportional hazards regression, and discrete time models.
Cost
- Fees: $347 - U-M Affiliated / $788 - Not U-M Affiliated
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