Conditional Independence, Structural causal models, graphical statistical models, d-separation, the adjustment formula, truncated product formula, the backdoor criterion, front-door criterion, mediation. Counterfactuals, structural interpretation, axiomatic of counterfactuals, probabilities of counterfactuals, three interpretations of probability of causation and counterfactuals.
Applications of to genetic epidemiology, statistical interaction analysis, sufficient cause interactions.
FSF3962 Causal Inference in Statistics 7.5 credits
Information per course offering
Course offerings are missing for current or upcoming semesters.
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus FSF3962 (Spring 2019–)Headings with content from the Course syllabus FSF3962 (Spring 2019–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
Intended learning outcomes
To pass the course, the student should be able:
- to recognize a situation, where causal inference is required
- apply intervention calculus
- to identify causal parameters,
- to find the scientific conditions it is possible to estimate causal parameters from data
- to analyse interaction of causes in genetic epidemiology
- to know the main interpretations counterfactuals and their equivalence
- to place causal inference in the general picture of statistical learning theory
- to present clearly a topic in causal inference
Literature and preparations
Specific prerequisites
First or second cycle courses in probability, in differential and integral calculus. Boolean logic of propositions.
Statistical inference FSF3961 and/or Bayesian networks FSF3970 recommended.
Literature
- J.Pearl, M. Glymour & N.P: Jewell: Causal inference in statistics. A Primer. J. Wiley & Sons 2016, ISBN: 9781119186847
- S.L. Morgan & C.Winship: Counterfactuals and causal inference. 2nd Edition. Cambridge Univ. Press, 2015, ISBN 978-1-107-06507-9
- T.J. Vanderweele: Explanation in Causal Inference. Oxford University Press, 2015 ISBN: 978-0-19-932587-0
- K.J. Rothman, S. Greenland, T.L. Lash: Modern Epidemiology. Third Edition. Wolters Kluwer, 2008, ISBN-13: 978-0-7817-5564-1
Examination and completion
Grading scale
P, F
Examination
- SEM1 - Seminars, 7.5 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
If the course is discontinued, students may request to be examined during the following two academic years.
Presentations of papers and book chapters or homework.
Other requirements for final grade
Presentations or homework.completed.
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
Further information
Course room in Canvas
Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.
Offered by
Education cycle
Third cycle