Syllabus database for doctoral courses
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Syllabus database for doctoral courses
SYLLABI FOR DOCTORAL COURSES
| Swedish title | Att transportera effekten av behandlingar från randomiserade studier till målpopulationer |
|---|---|
| English title | Transporting Treatment Effects from Randomized Trials to Target Populations |
| Course number | 5649 |
| Credits | 1.5 |
| Responsible KI department | Institutet för miljömedicin |
| Specific entry requirements | Knowledge equivalent to "Epidemiology I: Introduction to epidemiology", "Biostatistics I: Introduction for epidemiologists", "Epidemiology II: Design of epidemiological studies", and "Biostatistics II: Logistic regression for epidemiologists" or corresponding courses. |
| Grading | Passed /Not passed |
| Established by | The Committee for Doctoral Education |
| Established | 2022-09-19 |
| Purpose of the course | The course will provide participants with understanding of why and how one should undertake transportability analyses to estimate treatment effectiveness and safety in populations that are not included in randomized trials. |
| Intended learning outcomes | After successfully completing this course, the student is expected to be able to:
- Define and explain the importance of external validity - Identify suitable target populations using observational data - Use data visualization techniques to inform methodological decisions - Interpret and communicate results that have been transported from a randomized trial to several target populations - Motivate why these methods fit into the Swedish research landscape |
| Contents of the course | We will discuss the theory underlying external validity, present several methods used for transporting treatment effects from randomized trials to defined target populations (weighting and outcome modelling), and consider where and how these methods fit into the Swedish health research landscape. Participants will be provided with analytic R or SAS code to create output from transportability analyses that use data from a randomized trial and various simulated target populations. We will also show how to effectively use data visualization to guide decisions about transport model specification and performance and discuss how to interpret results. |
| Teaching and learning activities | Lectures, computer labs, and individual and group work involving analysis of real-life research problems related to the external validity of treatment effects estimated in randomized trials. |
| Compulsory elements | Individual written examination (summative assessment). |
| Examination | To pass the course, the student must show that the intended learning outcomes have been achieved. The assessment methods used in this course are individual and group assignments (formative assessments) and an individual take-home examination (summative assessment). The focus will be to understand transportability methods to address specific research questions and interpret analytic results, rather than a detailed focus on mathematical principles. The examination is viewed as contributing to the development of knowledge, rather than a test of that 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. |
| Literature and other teaching material | Course responsible |
Anthony Matthews Institutet för miljömedicin anthony.matthews@ki.se |
| Contact person |
Johanna Bergman Institutet för miljömedicin johanna.bergman@ki.se Nobels väg 13 17177 Stockholm |
