Welcome to Biostatistics I
Description: This is a basic course in biostatistics and focuses in the application of biostatistics. Statistical methods in medicine, biology, and biomedical engineering are based on experimental designs that may differ from those treated in traditional statistics courses. Especially the design of experiments and the types of data obtained from these experiments are often very different. Problems with sampling, allocation, volunteers, placebo, cross-over designs, repeated measurements, etc. are typical for the biomedical field. Moreover, data widely deviating from normality are the rule, not the exception. 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. During the course, each participant will develop a statistical analysis plan related to the PhD project.
The tentative course program is:
- Descriptive statistics
- Probability distributions
- Hypothesis testing – parametric tests
- Non-parametric tests
- One-way ANOVA
- Regression and correlation
Prerequisites Basic knowledge of statistical software Stata or SPSS. We recommend that you bring your own laptop.
Literature B. Kirkwood, J. Sterne, “Essential medical statistics”. Plus hand-outs.
Evaluation The course will be evaluated through the statistical analysis plan.
Organizer: Associate Professor Carsten Dahl Mørch, email: email@example.com
Lecturers: Postdoc Michael Skovdal Rathleff, Postdoc Sinead Holden, Associate Professor Carsten Dahl Mørch, Aalborg University
Time: 6., 10., 13., 20., and 27. March + 7. and 18. April 2017 (8.15-12.00)
Place: Aalborg University, Fredrik Bajers Vej 7D, room D2-106
Zip code: 9220
City: Aalborg Ø
Number of seats: 25
Deadline: 13. February 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.