161.331 Biostatistics (15 credits)

Sciences such as biology and medicine yield data that require a wide range of statistical techniques, including standard linear models and their extensions. Case studies are used to demonstrate topics such as nonlinear regression, linear models for binary and count data, and mixed effects models. Emphasis is placed on application of appropriate statistical techniques through extensive use of statistical software.

Note(s): Access to a Windows PC and an approved statistics package is required for analysis of data.

Requirements

• Prerequisite(s): One of 161.220 or 161.221, 161.250 or 161.251
  General Prerequisite: At least 45 credits from 200 level.
• Restriction(s): 161.306, 161.778

Offerings

Page authorised by Director, Student Administration