|Course code module||LLAPOT03O30440|
|Study load (hours)||140|
|Language of instruction:||Dutch|
|Semester exam information:||semester exam in June|
|Contract restriction information:||exam contract not possible|
2. Objectives (expected learning outcomes)
Scientific literature contains usually statistical analysis of research data. The aim of this course is to instruct the students how to interpret statistical analysis as well as how to perform statistical tests and to choose the proper test for a specific research question. Hereto, they will have to use SPSS, on of the most popular statistical packages for computers used among scientists.
3. Course content
Quality control of data, construction of histograms and box plots to visualize data.
Parametric test: Student t-test, ANOVA, single and multiple linear regression, correlation, discriminant analysis, reliability analysis.
Non - parametric tests: Wilcoxon, Mann-Whitney, Kruskal Wallis, Chi square, Friedman, logistic regression, cluster analysis
By means of a statistical decicion tree, the student is instructed when to use a specific test for a specific situation.
4. Teaching method
Direct contact: LecturesExercise sessions
5. Assessment method
Exam: Open bookPractical exam
6. Compulsory reading – study material
Aviva Petrie en Carolin Sabin: Medical Statistics at a Glance, Blackwell Publishing, 2nd ed. 2005.
Course written by Wuyts
7. Recommended reading - study material
Fundamentals of Biostatistics, Rosner, 5the edition, Duxbury, 2000
laatste aanpassing: last update: 01/06/2006 01:01 ecampus