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
The course will be evaluated by one large take-home exercise during the week after the last lecture.

Organizer:
Alina Zalounina, Associate Professor, email: az@hst.aau.dk
Carsten Dahl Mørch, Associate Professor, email: cdahl@hst.aau.dk

Lecturers:
Alina Zalounina, Associate Professor and Carsten Dahl Mørch, Associate Professor, Aalborg University

ECTS:
4.5

Time:
October 8, 15, 22, 29 and November 5, 12, and 19, 2013 (08:15-12:00)

Place:
Aalborg University

Zip code:
9220

City:
Aalborg

Number of seats:
35

Deadline:
September 10, 2013

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.