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| Semester | spring semester 2019 |
| Course frequency | Every spring sem. |
| Lecturers |
Tracy Glass (tracy.glass@unibas.ch, Assessor)
Amanda Ross (amanda.ross@unibas.ch) Christian Schindler (christian.schindler@unibas.ch) |
| Content | Good clinical practice General issues in clinical trials Types of randomized clinical trials (simple, cluster, factorial, cross-over, sequential, adaptive, stepped-wedge) Sampling and randomization methods Sample size calculation Analysis considerations |
| Learning objectives | To understand the basic statistical principles of clinical trial design. The proper use of statistical methods is essential throughout the process of a clinical trial – from planning to the dissemination of results. Given a potential research idea, students should be able to choose the optimal trial design, calculate the appropriate sample size and write a short statistical analysis plan after completing this course. Students should also understand analytical issues associated with complex trial designs. |
| Comments | Methods: Lectures, exercises, computer practicals and project work |
| Language of instruction | English |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Module: Biostatistics and Computing (Master's Studies: Epidemiology) |
| Assessment format | continuous assessment |
| Assessment details | Project presentation and course participation |
| 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 |