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Organization, Regulations, and Courses 2017-18

QBS 121 Foundations of Biostatistics II: Regression

This course will cover generalized regression theory as practiced in biostatistics and the quantitative biomedical sciences. The basics of linear model theory will be presented and extended to generalized linear models for binary, counted, and categorical data, along with regression for censored survival data. Multivariate regression and mixed fixed and random effects regression models for longitudinal and repeated measures data. Regression methods for right censored time-to-event will include Cox’s model, with discussion of time-dependent covariates and left truncation.  Methods for dealing with missing data will be explored.  Special topics will include measurement error in regression, instrumental variables, propensity scores and inverse propensity weighted estimation. Current methodologies for model selection and classification will be introduced in the context of applications in genomics and the biomedical sciences. The course will primarily feature computational examples using the statistical package R, but will also give students exposure to other popular statistical packages such as SAS and Stata. The course will meet for 3 hours per week.


MacKenzie and T.Tosteson


Foundations of Biostatistics I or Permission of Instructor