Applied regression analysis with examples from health sciences

Education facts

Code: STA040

The course introduces various regression models commonly used in health sciences. The presentation begins with linear regression, where the inclusion of multiple covariates, interaction, and non-linear relationships, such as through splines, is introduced. These concepts are revisited when discussing logistic regression, Poisson regression, and Cox regression (Cox proportional hazards model). Practical computer exercises provide training in using the models in practice.

Entry requirements

The entry requirements of the course are at least 120 credits and English B/English 6. In addition, at least 5 credits in statistics or quantitative methods are required

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Applied regression analysis with examples from health sciences

  University of Gothenburg

  Ortsoberoende

  Start date: 31 August 2026

  End date: 3 November 2026

  Pace of study: 50 %