Linear Models (SL_112)
About Study Course
Learning outcomes
1.• as a result of completion of a study course, the student is able to demonstrate an in-depth knowledge of the theory behind linear models;
• explain the limitations and assumptions of the linear models;
• discuss the different parameterisation options in linear models.
1.Is able to independently:
• choose appropriate model for the data and check the model assumptions;
• interpret and use (predictions; inference) the estimated model;
• perform multiple comparisons and post-hoc tests.
1.The students will be able to:
• solve prediction problems using linear models’ methodology.
• use linear models to answer complex what-if questions (Example: what would the average difference between male and female blood pressure be, if the proportion of overweight population would be the same for both genders?).
• critically assess the linear models used in scientific publications and the validity of the conclusions made by authors.
Study course planning
| Study programme | Study semester | Program level | Study course category | Lecturers | Schedule |
|---|---|---|---|---|---|
| Biostatistics | 2 | Master's | Required |
