Courses

The course discusses the objectives and methodological foundations of a number of commonly used regression methodologies in biomedical research from a practical perspective. In short: what is regression (in terms of assumptions made on data), what is it for (which objectives), when can we use it (or not), how can we interpret results from it (and when not).

Basic Methods and Reasoning in Biostatistics – II This course covers the fundamental toolbox of biostatistical methods plus a solid methodological basis to properly interpret statistical results. The course is a mandatory part of the LUMC Graduate School Program and a prerequisite for any of the advanced biostatistical courses offered by the LUMC. This is a basic course, targeted at a wide aud…

This course provides statistical methods to study the association between (multiple) determinants and the occurrence of an outcome event. The course starts with an introduction to likelihood theory, using simple examples and a minimum of mathematics. Next, the most important regression models used in medical research are introduced. Topics are: maximum-likelihood methods, logistic regression, m…

In this course the principles and practice of cohort, case-control and cross-sectional studies are taught. Design, data collection and outcome measures are discussed, as well as the major advantages and disadvantages of the different study designs. Emphasis is on the application of study design in etiologic research. The course focuses on the more classical approach but also addresses modern co…

The aim of this course is to bring all students, irrespective of their prior knowledge, up to the necessary level to enable them to participate in other statistical courses such as: Classical Methods in Data Analysis. The course is offered partly online and partly face to face on campus.

Qualitative research is becoming more prominent in medicine and health care. In this 5-day course, students will be introduced to the basic principles of qualitative research methods in medicine. Students will be equipped with the necessary knowledge and skills to design, conduct and report on qualitative research. In addition, the basic principles of data-analysis using the qualitative data an…

This course starts with the basic applications of biostatistics in the analysis of medical research data. Topics are: types of data, location and variability measures, samples and populations, distributions, confidence intervals, hypothesis testing, comparing two or more means or proportions (parametric and non-parametric methods), and relationships between two variables (correlation, simple li…

This course provides insight in the basic terminology and principles used in epidemiology. The course starts with the history and design of epidemiological research, and the different measures of frequency and association. Also, the principles of bias and confounding are addressed.

This 12 ECTS microcredential introduces students to the basic principles of epidemiology. The course begins with an overview of the history and recent and new developments in epidemiology. It then delves into measures of occurrence and association, and the concepts of causality and systematic error. Finally, the main research designs used in epidemiology are discussed. In particular, the genera…

Topics covered: concepts in infectious diseases epidemiology, surveillance, outbreak management, prevention of infectious diseases, role of the Public Health Service Epidemiology of infectious diseases is a separate branch within epidemiology and requires a broad view and working in multidisciplinary teams. Using the appropriate epidemiological methods is crucial in fighting infectious disease…