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Survival Analysis I

Course Number
5200 (Biostatistics)
Course Instructor(s)
Olli Saarela

Course Description

  • Concepts, models and techniques in survival analysis including types of censoring and truncation, Kaplan-Meier estimators, log-rank statistics, parametric models, proportional hazards models, extended PH models, competing risks, recurrent events and frailty models.

Course Objectives

  • It is intended to provide an analytical foundation and to present current techniques for the statistical analysis of survival data.

General Requirements

  • Mathematical Statistics I (STA2112H) and II (2212H) or equivalent, taken concurrently or recently; experience using a statistical software package, such as SAS, SPLUS, R and/or STATA.

Pre/Co-Requisite Courses