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| Semester | Frühjahrsemester 2024 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende |
Giusi Moffa (giusi.moffa@unibas.ch)
Amanda Ross (amanda.ross@unibas.ch, BeurteilerIn) |
| Inhalt | Description: This course builds on the basic statistics courses of the MSc in Epidemiology. The lectures focus on practical examples, based on datasets from epidemiological studies. Exercises are designed to teach students how to carry out the major steps of an epidemiological analysis project. Regression analyses, including linear, logistic and survival models, will constitute the core of the lectures. Additional topics such as methods for clustered data or repeated measures (random effects, GEE) and other topics will also be included. All exercises will be solved using STATA, but students may use other software such as R or SAS if they are familiar with it. Content: General modelling issues Linear regression Random effects Logistic regression Generalized Estimating Equations (GEE) Survival analysis Introduction to causal inference Missing data |
| Lernziele | Students develop practical skills in conducting regression analyses and in describing and presenting their results. Based on concrete scientific questions, they can devise analysis plans and carry out the respective analyses correctly. They know strategies for model development, are familiar with methods of confounder control and know how to model and interpret effect modification. |
| Bemerkungen | Methods: Lectures and practicals |
| Teilnahmebedingungen | This course follows on from the courses Biostatistics and Statistical Modelling, which are part of the MSc in Epidemiology and are taught in the Autumn semester. Students need to have either attended these courses or to have a basic level of biostatistics with an idea of hypothesis testing, estimation, regression models and confounding. Due to group work, 100% attendance is required. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Mittwoch | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 28.02.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 06.03.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 13.03.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 20.03.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 27.03.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 03.04.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 10.04.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 17.04.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 24.04.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 01.05.2024 | 14.15-16.00 Uhr | Tag der Arbeit |
| Mittwoch 08.05.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 15.05.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 5 |
| Mittwoch 22.05.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Mittwoch 29.05.2024 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Module |
Doktorat Epidemiologie: Empfehlungen (Promotionsfach: Epidemiologie) Lehrveranstaltungen Masterstudium Infektionsbiologie (Masterstudium: Infektionsbiologie) Modul: Biostatistics and Computing (Masterstudium: Epidemiologie) |
| Leistungsüberprüfung | Lehrveranst.-begleitend |
| Hinweise zur Leistungsüberprüfung | Graded group assignments, individual statistical analysis plan for a project |
| An-/Abmeldung zur Leistungsüberprüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Wiederholtes Belegen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Schweizerisches Tropen- und Public Health-Institut |