Biostatistics

Undergraduate

This course will be focused on the application of statistical methods in life and health sciences. Topics covered will include the formulation of study objectives in statistical hypotheses testing and estimation frameworks, the design of clinical studies, types of data and measurements, data description and visualization, procedures for testing statistical hypotheses, estimation via point estimates and confidence intervals, linear and logistic regression models for clinical data, analysis of event history data such as survival end-points, and the statistical analysis of categorical data. Students will be expected to use a statistical software such as R, SAS, SPSS, or Tableau for data analysis and visualization. This course will also introduce the concepts of Indigenous Data Sovereignty and will include appropriate examples reflecting Indigenous knowledge. (Prerequisite: STAT-3950.) (3 lecture hours per week.) (May be offered as a cross-career course with STAT-8700).