Course catalogue doctoral education - VT20

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Title Causal inference: emulating a target trial to assess comparative effectiveness
Course number 3046
Programme Epidemiologi
Language English
Credits 1.5
Date 2020-03-23 -- 2020-03-25
Responsible KI department Institutet för miljömedicin
Specific entry requirements Courses ""Epidemiology I: Introduction to epidemiology"", ""Epidemiology II: Design of epidemiological studies"", ""Biostatistics I: Introduction for epidemiologists"", ""Biostatistics II: Logistic regression for epidemiologists"", and either ""Causal inference for epidemiological research"" (course 2416) or ""Causal Inference from observational data"" (course 2462) or corresponding courses.
Purpose of the course This course focuses on a general framework for the assessment of comparative effectiveness and safety research, which can be applied to both observational data and randomized trials.
Intended learning outcomes After successful completion of this course, the student should be able to:
- Formulate sufficiently well-defined causal questions for comparative effectiveness research
- Specify the protocol of the target trial
- Design analyses of observational data that emulate the protocol of the target trial
- Identify key assumptions for a correct emulation of the target trial
- Decide when g-methods are required for data analysis
- Critique observational studies and randomized trials for comparative effectiveness research

Contents of the course The course introduces students to a general framework for the assessment of comparative effectiveness and safety research. The framework, which can be applied to both observational data and randomized trials with imperfect adherence to the protocol, relies on the specification of a (hypothetical) target trial. The course explores key challenges for comparative effectiveness research and critically reviews methods proposed to overcome those challenges. The methods are presented in the context of several case studies for cancer, cardiovascular, renal, and infectious diseases.
Teaching and learning activities Lectures and group sessions. Before the course, the student is required to study the course literature.
Compulsory elements The individual written examination (summative assessment).
Examination A written individual examination will be carried out after the course. The examination will require the evaluation of a published article on comparative effectiveness or safety. 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 Hernán MA, Robins JM (2017). Causal Inference. Boca Raton: Chapman & Hall/CRC, forthcoming.

The book can be downloaded (for free) from http://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/
Number of students 8 - 25
Selection of students Eligible doctoral students will be prioritized according to 1) the relevance of the course syllabus for the applicant’s doctoral project (according to written information), 2) date for registration as a doctoral student (priority given to earlier registration date). To be considered, submit a completed application form. Give all information requested, including a short description of current research training and motivation for attending, as well as an account of previous courses taken.
More information Pre-course reading is required: Chapters 1-3 of the book: Hernán MA, Robins JM (2019). Causal Inference. Boca Raton: Chapman & Hall/CRC, forthcoming. The book can be downloaded (for free) from https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/. The individual examination will be performed as a take-home examination.
Additional course leader Course leader is Miguel Hernán, Kolokotrones Professor of Biostatistics and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA and Guest Professor at Institute of Environmental Medicine, Karolinska Institutet.
Latest course evaluation Course evaluation report
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