QBS 121/PH 271: Foundations of Biostatistics II: Statistical Modeling

Course Directors: Dr. Tor Tosteson & Dr. Todd MacKenzie

  • Course description: We cover the theory and applications of statistical modelling, also known as regression, as practiced in the quantitative biomedical sciences. We present statistical inference (estimation and hypothesis testing) for linear models, generalized linear models (i.e. logistic and Poisson regression), and models for times-to-event (survival analysis). The course emphasizes the dual goals of modelling (i) prediction and (ii) causal inference, and includes applications of penalized (regularized) regression and propensity scores. In addition, we describe methods for missing data. We use the statistical software R.
  • Prerequisites:
    • Coursework: QBS 120: Foundations of Biostatistics I: Statistical Theory or instructor permission.
    • calculus, linear algebra 
    • Programming: Intermediate proficiency in R.

Syllabus