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.