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

Systematic Reviews of Diagnostic Studies (online)The number of primary studies evaluating diagnostic tests is rising. Critically summarizing such studies in a systematic review is beneficial for health care professionals seeking the best evidence about the use of diagnostic tests.

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.

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.

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.

Survival AnalysisSurvival data, or more generally, time-to-event data, is frequently encountered in epidemiologic studies.

Survival Analysis (online)Survival data, or time-to-event data (the “event” can be death, disease or another outcome), is frequently encountered in epidemiologic studies. Censoring is a problem characteristic of most survival data and requires special data analytic techniques

Study Design for Veterinary Epidemiological Research (online)This course is highly suitable for veterinary researchers with an interest in epidemiology, who want to understand the concepts of epidemiology and apply these concepts in data analysis.

Study Design for Veterinary Epidemiological ResearchIn this course you will learn the "state-of-the-art" in veterinary epidemiology. the course will focus on those aspects that are specific for epidemiology in animal health, but these concepts are relevant also in many other situations.

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.