Aim
This course enables biomedical students to identify basic statistical problems in medical research and to carry out appropriate statistical analyses. The student gets hands-on experience in using a statistical package, which is mandatory when doing practical statistical analyses.
Contents
The student is introduced to basic statistical techniques applied to biological and medical examples. Topics covered are: Descriptive statistics, data types, statistical distributions, comparison of two samples by parametric and nonparametric methods, paired observations, simple analysis of contingency tables, linear and multiple regression, analysis of variance and logistic regression. The statistical software R is used for analysis of real medical and health related examples. We support also the usage of the statistical software Stata.
4 full days during one semester with an additional exercise day. The exercises in the afternoon of the first day give a short introduction to R. We offer a
two days introductory course into R before the course. You may take this instead of the introductory exercise.
Examination
The course closes with a written exam, where you answer in a small report some statistical analysis tasks. You have about a week to work on this report at home. The report is evaluated as passed/not-passed. If passed, you receive a course certificate.
Teaching arrangements
Lectures, seminars, exercises including use of computers. The typical arrangement is lectures for the first half of the day and individual coursework with exercises the second half. Between two lectures you are invited to solve some homework exercise.
Prerequisites
Students should bring their own laptop with R or Stata installed. As accompanying book we recommend either
Kirkwood and Sterne (2010) Essential medical statistics. Second edition or Vittininghoff, E. et al. (2012) Regression Methods in Biostatistics, 2nd edition, Springer (for SDU students free to download).
Course material
- Lecture notes
- R. Open source software
- STATA. PhD-students enrolled at Graduate School of Health Sciences can download STATA software for free from E-learn. Please contact SDU IT-Services. SDU can not provide the software for course participants not enrolled at Graduate School of Health Science. Software license is not included in the course fee for course participants not enrolled at Graduate School of Health Sciences.
Course fee
The course is free of charge for PhD students enrolled in Universities that have joined the "Open market agreement" or NorDoc.
For all other participants the course fee is:
DKK 3200
EUR 428