Welcome to Biostatistics II
Description: This course on biostatistics will focus on the complexity of data collected in biomedical research. Therefore, the course will focus on topics like sample size estimation, meta-analysis and multi-factorial methods. This course will consist of two parts: (i) a review of some well-known and widely used parametric and non-parametric methods and discussions of basic designs of experimental studies, and (ii) a practical part where the focus is on applying the methods to relevant and realistic data sets collected from medical and biomedical research.
The tentative course program is:
- Power analysis and sample size estimation
- Meta-analysis and systematic reviews
- Multifactorial ANOVA
- Repeated measures ANOVA
- Multiple and non-linear regression
- Survival Analysis
Literature: Selected papers and book chapters will be announced to the participants shortly before the course.
Prerequisites: Biostatistics I or similar knowledge on biostatistics
Evaluation: Evaluation of the course will be based on written reports of selected exercises.
Organizer: Associate Professor Carsten Dahl Mørch, email: email@example.com
Time: 8:15 - 12:00.
Dates: 6,10,13,17,20, 24 November and 8 December 2017
Place: Fibigerstræde 11, room: 3
Zip code: 9220
Number of seats: 35
Deadline: 16 October 2017
Important information concerning PhD courses We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 5,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately three months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.