|Course level||Master’s students, open to PhD staff and professionals
|Session 1||4 July to 18 July 2020|
|Recommended session 2 course combination
||Disruptive 4.0 A Multidisciplinary Approach of Artificial Intelligence, Meta-analysis: Know-how and Open Science|
|Co-ordinating lecturers||Wouter van Ballegooijen, Niko Boumparis, and Pim Cuijpers
|Form(s) of tuition||Lectures, discussions, group work
|Form(s) of assessment||tba
|Tuition fee||€1150, read more about what's included.|
The number of studies examining relevant research questions is staggering. Each year thousands of new randomized controlled trials are conducted, and endless numbers of epidemiological and experimental studies are published each year. Meta-analyses and systematic reviews can help researchers, but they can also prove useful for consumers and policymakers looking to draw conclusions on multiple studies. Meta-analyses have become a major tool for summarising results of scientific research, and they are widely used for making policy decisions, developing treatment guidelines, and setting priorities for new research. In this course, students will learn why meta-analyses are important and how to carry out the necessary steps to conduct a systematic review and meta-analysis.
Relevance of the course
Meta-analyses and systematic reviews are getting more and more important to summarize existing knowledge and translate that knowledge to clinical practice. Understanding and conducting meta-analyses and systematic reviews belongs to the core competencies of all researchers in the clinical field.
Upon completion of this course, the student should be able to: