Back
| Semester | spring semester 2020 |
| 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. Finally we will discuss questions around causal structure learning. 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/). |
| 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 |
|---|
No dates available. Please contact the lecturer.
| 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: Applied Mathematics (Computational Chemistry) (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Applied Mathematics (Computational Mathematics) (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) Module: Applied Mathematics (Computational Physics) (Bachelor's Studies: Computational Sciences (Start of studies before 01.08.2018)) |
| 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 |