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28878-01 - Vorlesung mit Übungen: Data Analysis in Epidemiology (3 KP)
| Semester | Frühjahrsemester 2025 |
| 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 |
| Teilnahmevoraussetzungen | 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 4 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 19.02.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 26.02.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 05.03.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 12.03.2025 | 14.15-16.00 Uhr | Fasnachstferien |
| Mittwoch 19.03.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 26.03.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 02.04.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 09.04.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 16.04.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 23.04.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 30.04.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 07.05.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 14.05.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 21.05.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 28.05.2025 | 14.15-16.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Module |
Doktorat Epidemiologie: Empfehlungen (Promotionsfach: Epidemiologie) Lehrveranstaltungen Masterstudium Infektionsbiologie (Masterstudium: Infektionsbiologie (Studienbeginn vor 01.08.2024)) Modul: Biostatistics and Computing (Masterstudium: Epidemiologie) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | Graded group assignments, individual statistical analysis plan for a project |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Schweizerisches Tropen- und Public Health-Institut |