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Titel Causal inference: emulating a target trial to assess comparative effectiveness
Kursnummer 3046
Program Epidemiologi
Språk Engelska
Antal högskolepoäng 1.5
Datum 2018-03-19 -- 2018-03-21
Kursansvarig institution Institutet för miljömedicin
Särskild behörighet 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.
Kursens syfte 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.
Kursens lärandemål 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

Kursens innehåll 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.
Arbetsformer Lectures and group sessions. Before the course, the student is required to study the course literature.
Obligatoriska moment 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.

Kurslitteratur och övriga läromedel 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/
Antal studenter 8 - 25
Urval av studenter Eligible doctoral students, with required prerequisite knowledge, prioritized according to 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 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 description of current research and motivation for attending, and an account of previous courses taken.
Övrig information Pre-course reading is required: Chapters 1-3 of the book: Hernán MA, Robins JM (2017).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/. The individual examination will be performed as a take-home examination.
Ytterligare kursledare Course leader: Professor Miguel Hernán, Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, link to website: https://www.hsph.harvard.edu/miguel-hernan/
Senaste kursvärdering Kursvärderingsrapport
Kursansvarig Anita Berglund
Institutet för miljömedicin

Anita.Berglund@ki.se
Kontaktpersoner Johanna Bergman
Institutet för miljömedicin

johanna.bergman@ki.se

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