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Clinical Trials and Drug Risk Assessment (online)This online medical course addresses the principles of studying the effects of drug treatments on the risks of unintended effects.

Systematic Reviews and meta-analysis of individual participant data (IPD)This course discusses how a meta-analysis involving IPD may help to identify sources of heterogeneous treatment effects, to investigate the accuracy of diagnostic tests, to develop clinical prediction models and to externally validate such models.

Systematic Reviews in Intervention Research (online)Systematic reviews use a systematic and transparent approach to identify all relevant articles, appraise the risk of bias, examine sources of variation, and, if appropriate, meta-analyse the results of the primary studies.

Missing DataEven 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.

Systematic Reviews and Meta-Analysis of Prognosis StudiesIn this course we discuss and practice how to define your review questions, and which statistical methods to use for meta-analyses of the results of primary prognostic studies.

Methodology in Health Economic EvaluationThe 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 MedicineLearn the basics of machine learning, with a special focus on sparse data as they occur in high dimensional ‘omics’ types of data.

Epidemiology of Infectious DiseasesSpecific (classes of) infectious diseases and their epidemiology will be covered. Other topics of the course include interventions such as vaccination, and antimicrobial resistance.

Systematic Reviews of Diagnostic StudiesThis course consists of plenary presentations, small-group discussions, and computer exercises using the statistical software package R.

Reproducible Coding Practices for Health Data ScienceThis course focuses on applying good programming practices, such as modular and flexible coding and version control, when developing scripts and computational workflows.