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28878-01 - Lecture with practical courses: Data Analysis in Epidemiology (3 CP)
| Semester | spring semester 2024 |
| Course frequency | Every spring sem. |
| Lecturers |
Giusi Moffa (giusi.moffa@unibas.ch)
Amanda Ross (amanda.ross@unibas.ch, Assessor) |
| Content | 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 |
| Learning objectives | 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. |
| Comments | Methods: Lectures and practicals |
| Admission requirements | 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. |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Course auditors welcome |
| Interval | Weekday | Time | Room |
|---|---|---|---|
| wöchentlich | Wednesday | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
Dates
| Date | Time | Room |
|---|---|---|
| Wednesday 28.02.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 06.03.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 13.03.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 20.03.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 27.03.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 03.04.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 10.04.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 17.04.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 24.04.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 01.05.2024 | 14.15-16.00 | Tag der Arbeit |
| Wednesday 08.05.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 15.05.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 5 |
| Wednesday 22.05.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Wednesday 29.05.2024 | 14.15-16.00 | Swiss TPH Neubau, Seminarraum 2 |
| Modules |
Courses: Master Infection Biology (Master's Studies: Infection Biology) Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology) Module: Biostatistics and Computing (Master's Studies: Epidemiology) |
| Assessment format | continuous assessment |
| Assessment details | Graded group assignments, individual statistical analysis plan for a project |
| Assessment registration/deregistration | Reg.: course registration, dereg: cancel course registration |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Science, studiendekanat-philnat@unibas.ch |
| Offered by | Schweizerisches Tropen- und Public Health-Institut |