Knowledge of the basics of biostatistics is essential for both the analysis of medical research data and for a critical appraisal of research articles. This postgraduate course is particularly aimed at those who have previously followed an introductory course in (bio) statistics and now intend to do research. This course aims to reintroduce the principles of biostatistics from an applied biomedical perspective, give a greater understanding of statistical concepts, and help researchers understand the most commonly used biostatistical methods, including when and when not to use them. We will cover statistical methods to adequately explore, describe, display and analyze data. The emphasis will be on understanding how to interpret statistical results and how meaningful conclusions can be drawn for relevant (clinical) research questions.
Describing and displaying data
Estimation using confidence intervals
Interaction and Confounding
Analysis of Variance (ANOVA)
Analysis of Covariance (ANCOVA)
Logistic regression analysis
Design of experiments
In addition, you will be given the opportunity to analyze your own data set with the help of an experienced biostatistician.
Aim of the course:
The participant will:
- Get an overview of the most applied statistical methods used in biomedical research.
- Be able to communicate more efficiently with the biostatistician.
- Be able to apply the basic statistical methods.
- Be prepared for more advanced biostatistical courses (survival analyses, missing values, meta analysis, multilevel data)