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.