QBS 121 Foundations of Biostatistics II: Regression Modeling
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 which are (i) prediction and (ii) causal inference. it includes applications of penalized (regularized) regression, propensity scores and methods for missing data. We use the statistical software R.
Instructor
Drs. Todd MacKenzie & Tor Tosteson
Cross Listed Courses
PH 271
Prerequisite
QBS 120 or
QBS 119. Calculus, linear algebra. Programming: Intermediate proficiency in R.