Biomedical Statistics and Epidemiology

 Course Code : 1045FBDDIE Study domain: Veterinary Medicine Academic year: 2017-2018 Semester: 1st semester Contact hours: 50 Credits: 5 Study load (hours): 140 Contract restrictions: Exam contract not possible Language of instruction: Dutch Exam period: exam in the 1st semester Lecturer(s) Erik Fransen

3. Course contents *

The statistics part of the course consists of a theoretical part and a practical part, the latter being the most important one.

• The theory part gives a conceptual introduction to the basic principles of statistics including probability density disctributions, sampling theory, central limit theorem, statistical inference, principles of hypothesis testing and statistical errors (type 1 and type2). The theoretical concepts are illustrated using simulations. in the practicals
• Most of thecomputer practicals are dedicated to the application of statistical hypothesis testing (using the software package SPSS) s to solve different research question. In particular, the student has  to decide which statistical test is the most appropriate, in terms of the research question and the types of variables involded. For most tests, a papametric and a non-parametric option is available, and we teach how to decide between these two technique by testing the model assumptionss. Statistical test sand analyses covered in this course inlude
• Independent sample t-test / Mann-Withney U-test
• Paired sample t-test / Wilcoxon signied rank test
• Chi-square test /Fischer exact test
• One-way ANOVA (+ posthoc test) / Kruskal-Wallis test
• SImple linear regression
• Correlation analysis
• In addition, we dedicate time to visualizing data using graphs, descriptive statistics ,quality control of scientific data, dealing with outliers, and scientific reporting.

The Epidemiology part consists of 3 theoretical lessons, convering the basics principles of epidemiology

• Scorpe of epidemiological research
• Frequency measures (prevalence and incidence)
• Types of epidemiological studies and the association measures estimated using thes studies
• Judging the quality of diagnostic tests (sensitivity, specificity,...)
• Precision and validity of a study
• Bias and confounding