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57241-01 - Lecture: Fundamentals of Causal Inference 6 CP

Semester spring semester 2024
Course frequency Irregular
Lecturers Giusi Moffa (giusi.moffa@unibas.ch, Assessor)
Content This is an introductory course on statistical methods for causal inference. Concepts we will cover include causal diagrams, potential outcomes, confounding and identification. For the estimation of causal effects we will describe covariate adjustment within an outcome regression, inverse probability weighting and propensity score methods, while discussing the necessary assumptions for their validity.

For the practical implementation of the estimation methods we will use the R statistical software (https://www.r-project.org/) within R Notebooks in RStudio (https://www.rstudio.com/products/rstudio/).
Comments This is a "Lecture with practical courses" awarding a total of 6CPs when both parts are completed. It is not possible to register for one part without registering for the other.

 

Admission requirements Basic knowledge in statistics with some programming experience, preferably with R/RStudio which we will use for any practical examples.
Language of instruction English
Use of digital media No specific media used
Course auditors welcome

 

Interval Weekday Time Room
wöchentlich Monday 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002

Dates

Date Time Room
Monday 26.02.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 04.03.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 11.03.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 18.03.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 25.03.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 01.04.2024 14.15-16.00 Ostern
Monday 08.04.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 15.04.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 22.04.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 29.04.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 06.05.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 13.05.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Monday 20.05.2024 14.15-16.00 Pfingstmontag
Monday 27.05.2024 14.15-16.00 Spiegelgasse 5, Seminarraum 05.002
Modules Modul: Applications and Related Topics (Bachelor's degree subject: Computer Science)
Module: Applications and Related Topics (Bachelor's Studies: Computer Science)
Module: Applied Mathematics (Bachelor's Studies: Mathematics)
Module: Mathematical Foundations (Master's Studies: Data Science)
Module: Statistics and Computational Science (Master's Studies: Actuarial Science)
Assessment format continuous assessment
Assessment registration/deregistration Reg.: course registration, dereg: cancel course registration
Repeat examination no repeat examination
Scale 1-6 0,5
Repeated registration as often as necessary
Responsible faculty Faculty of Science, studiendekanat-philnat@unibas.ch
Offered by Fachbereich Mathematik

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