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| Semester | spring semester 2020 |
| Course frequency | Every spring sem. |
| Lecturers |
Tracy Glass (tracy.glass@unibas.ch)
Amanda Ross (amanda.ross@unibas.ch, Assessor) Christian Schindler (christian.schindler@unibas.ch) |
| Content | Description: The lecture focuses 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. Students are encouraged to bring in their own problems for discussion. Content: General modelling issues Linear regression Random effect models Logistic regression Repeated measures Survival analysis Introduction to causal inference |
| 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 different strategies of model development, are familiar with different methods of confounder control and know how to model and interpret effect modification. |
| Comments | Weeks 8-15 Methods: Lectures and practicals 26 May: lecture takes place in room Lhotse |
| 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 should have a basic level of biostatistics, and have an idea of hypothesis testing, estimation, regression models and confounding. |
| 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 |
Courses: Master Infection Biology (Master's Studies: Infection Biology) Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology) Modul: Fields: Public Health and Social Life (Master's degree program: African Studies) Modul: Research Skills (Master's degree program: African Studies) Module: Biostatistics and Computing (Master's Studies: Epidemiology) |
| Assessment format | continuous assessment |
| Assessment details | Graded group homework and devising a statistical analysis plan for a real or mock 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 |