Back
Semester | spring semester 2020 |
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 Dates: week 1 - 7 |
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 |
Doctorate Science Epidemiology: Recommendations (PhD subject: Epidemiology) Module: Biostatistics and Computing (Master's Studies: Epidemiology) |
Assessment format | continuous assessment |
Assessment details | Group project with 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 |