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| Semester | Frühjahrsemester 2022 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende |
Marek Kwiatkowski (marek.kwiatkowski@unibas.ch)
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 classical, logistic and survival models, will constitute the core of the lectures. Additional topics such as random effects, repeated measures and other topics will also be included. All exercises will be solved using STATA, but students may use other software if they are familiar with it. Content: General modelling issues Linear regression Random effects Logistic regression Repeated measures Survival analysis Introduction to causal inference |
| 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 | Weeks 8-15 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 a basic level of biostatistics, and have 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 | Dienstag | 11.15-13.00 | Swiss TPH Neubau, Seminarraum 2 |
| wöchentlich | Dienstag | 14.15-16.15 | Swiss TPH Neubau, Seminarraum 2 |
| Datum | Zeit | Raum |
|---|---|---|
| Dienstag 12.04.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 12.04.2022 | 14.15-16.15 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 19.04.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 19.04.2022 | 14.15-16.15 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 26.04.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 26.04.2022 | 14.15-16.15 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 03.05.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 03.05.2022 | 14.15-16.15 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 10.05.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 10.05.2022 | 14.15-16.15 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 17.05.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 17.05.2022 | 14.15-16.15 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 24.05.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 24.05.2022 | 14.15-16.15 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 31.05.2022 | 11.15-13.00 Uhr | Swiss TPH Neubau, Seminarraum 2 |
| Dienstag 31.05.2022 | 14.15-16.15 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 |