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Tackling real-world problems through Interdisciplinary Collaboration (TIC)
Let’s change the world together! Are you ready to take up the challenge to solve complex societal challenges facing us now? Join TIC!
Advanced Diagnostic Research (online)
Diagnostic research in the past focused particularly on estimating the sensitivity and specificity of individual diagnostic tests. This course will demonstrate that this so called ‘test research’ is not necessarily the same as diagnostic research.
Classical Methods in Data Analysis (online)
Topics are: types of data, location and variability measures, samples and populations, distributions, confidence intervals, hypothesis testing, comparing two or more means or proportions, and relationships between two variables.
Clinical Epidemiology (online)
This course focuses on the principles and practice of clinical epidemiology, and elaborates on examples from relevant literature.
Systematic Reviews and Meta-Analysis of Prognosis Studies (online)
The number of primary studies evaluating prognostic factors and models is rising. Critically summarizing and analyzing the evidence from prognosis studies in a systematic review and meta analysis is beneficial for seeking the best evidence.
Ombudsfunctionaris in breed perspectief
In deze masterclass maak je kennis met alle facetten van een unieke interventiefunctie in een organisatie: de ombudsfunctie.
Nutritional Epidemiology
The course will address methodological aspects involved in the design, conduct, analysis and interpretation of nutritional epidemiological research.
Methodology in Health Economic Evaluation
The aim of this course is to introduce economic evaluation methodology and practice to persons unfamiliar with economic thinking in a healthcare and prevention context.
Machine Learning & Application in Medicine
Learn the basics of machine learning, with a special focus on sparse data as they occur in high dimensional ‘omics’ types of data.
Missing Data
Even in well designed and conducted epidemiological studies, data will be missing. This may include missing observations of the exposure and under study, confounders, or the outcome.
