During the course, the participants will be introduced to survival time distributions and hazard functions, multivariable survival models (including Cox semiparametric models, parametric models and dealing with time-varying covariates), model diagnostics (e.g. evaluation of model assumptions, detection of ill-fitting points etc.) frailty (random effects) models and the analysis of discrete interval data. By the end of the course, participants should be quite comfortable with fitting relatively sophisticated models of time to event data.
The course is intended for people with some experience in quantitative methods, i.e. a basic knowledge of Biostatistics and/or Epidemiology. Participants should be familiar with procedures for building and evaluating linear and logistic regression models. It is desirable, but not a requirement, that participants have some familiarity with R. |
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