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.
The tentative course program is:
• Study design.
• Descriptive statistics.
• Probability distributions.
• Hypothesis testing – parametric tests
• Non-parametric tests
• One-way ANOVA
• Regression and correlation
Martin Bland, An Introduction to Medical Statistics, Oxford University Press, 3rd ed. 2000 plus hand-outs.
Associate Professor Alina Zalounina Falborg, email: email@example.com
Associate Professor Carsten Dahl Mørch, email: firstname.lastname@example.org
Associate Professor Alina Zalounina Falborg and
Associate Professor Carsten Dahl Mørch, Aalborg University
April 3, 8, 15, 29 and May 3, 6, 10, 2013 (08.15-12.00)
Fredrik Bajers Vej 7E, Room E3-209
Number of seats:
March 6, 2013