- Healthcare
- Delete filters
Filter by:
Systematic Reviews of Diagnostic Studies
This 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 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 Analysis
Survival 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 Research
In 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 Science
This course focuses on applying good programming practices, such as modular and flexible coding and version control, when developing scripts and computational workflows.
Nutritional Epidemiology (online)
This course will cover the most important challenges in conducting nutritional epidemiological research, while helping you to design a well-constructed nutritional epidemiological study.
