Syllabus database for doctoral courses
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Syllabus database for doctoral courses
SYLLABI FOR DOCTORAL COURSES
| Swedish title | Diagram för kausal inferens från observationsdata |
|---|---|
| English title | Diagrams for Causal Inference from Observational Data |
| Course number | 5665 |
| Credits | 1.5 |
| Responsible KI department | Institutet för miljömedicin |
| Specific entry requirements | The course “Key Concepts and Principles for Design and Critical Interpretation of Register-based Studies” or corresponding courses. |
| Grading | Passed /Not passed |
| Established by | The Committee for Doctoral Education |
| Established | 2022-11-10 |
| Purpose of the course | The course focuses on causal diagrams and its applications to causal inference. |
| Intended learning outcomes | - Use causal diagrams to represent a priori subject-matter knowledge and assumptions
- Describe graphical rules to relate causal structure to association - Use graphical rules to identify confounding and selection bias - Describe treatment-confounder feedback using causal diagrams - Recognize and formulate well defined questions concerning causal effects |
| Contents of the course | When using observational data for causal inference, causal diagrams can be used to represent causal concepts and identify potential biases in study design and data analysis. This course focuses on causal directed acyclic graphs to summarize subject-matter knowledge regarding causal structure, to identify systematic biases such as confounding and selection bias, and to describe the conditions required to estimate causal effects, both for time-fixed and time-varying treatments. |
| Teaching and learning activities | The course is structured as lectures followed by group work to solidify the learning of the concepts. The course focuses on active learning, i.e. putting knowledge into practice and critically reflecting upon the knowledge, rather than memorising facts. |
| Compulsory elements | The individual, summative examination. |
| Examination | To pass the course, the student must show that the learning outcomes have been achieved. Assessments methods used are group tasks (formative assessments) along with a written individual task (summative assessment). The examination is viewed as a contribution to the development of knowledge, rather than as a test of knowledge. Students who do not obtain a passing grade in the first examination will be offered a second examination within two months of the final day of the course. Students who do not obtain a passing grade at the first two examinations will be given top priority for admission the next time the course is offered.
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| Literature and other teaching material | Mandatory course literature:
Hernán MA, Robins JM (2020). Causal Inference: What If. Boca Raton: Chapman & Hall/CRC. Pre-course reading: Students are expected to read Chapters 1 and 2 of the book “Causal Inference: What If” by Hernán and Robins before they come to the course. Other chapters will be used throughout the course. The book can be downloaded (for free) from http://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/ |
Course responsible |
Anita Berglund Institutet för miljömedicin Anita.Berglund@ki.se |
| Contact person |
Johanna Bergman Institutet för miljömedicin johanna.bergman@ki.se Nobels väg 13 17177 Stockholm |
