BIOS 637 Advanced Modeling: Survival and Other Multivariable Data (4 credits)

Offered by: Epidemiology and Biostatistics (Faculty of Medicine)

Administered by: Graduate Studies


Biostatistics : Advanced applied biostatistics course dealing with flexible modeling of non-linear effects of continuous covariates in multivariable analyses, and survival data, including e.g. time-varying covariates and time-dependent or cumulative effects. Focus on the concepts, limitations and advantages of specific methods, and interpretation of their results. In addition to 3 hours of weekly lectures, shared with epidemiology students, an additional hour/week focuses on statistical inference and complex simulation methods. Students get hands-on experience in designing and implementing simulations for survival analyses, through individual term projects.

Terms: Winter 2020

Instructors: Michal Abrahamowicz (Winter)

  • Restriction(s): Graduate students in Biostatistics or Math/Stat programs, or permission of the instructor.

  • Students are expected to have a good understanding of multivariable regression and basic knowledge of survival analysis.