Topics in Meta-analysis [ESP15]
Monday to Friday (5 mornings)
Prof. Matthias Egger, Prof. Georgia Salanti
Erasmus MC, Rotterdam NL
Introductory level background in epidemiology and biostatistics.
ApplicationGo to the ESP website
Detailed information about this course:
Faculty: Prof. Matthias Egger, MD MSc, Prof. Georgia Salanti, PhD
This course introduces the principles of systematic reviews and meta-analysis, with a focus on the potentials and limitations of this study design, including the problematic, massive rise of such analyses in the literature. The identification and exploration of between-study heterogeneity and of sources of bias, and the issues arising in meta-analysis of observational studies and in network meta-analysis will be covered.
The format of the course includes lectures and the critical appraisal of published meta-analyses in groups. Hands-on practicals in R cover basic meta-analysis, meta-regression and network meta-analysis, The course is based on the third edition of the book "Systematic Reviews in Health Research: Meta-Analysis in Context (John Wiley & Sons, 2022), but students do not need to purchase the book.
This course is primarily of interest to health researchers but also a resource for practitioners, students and instructors in the health sciences needing to understand research synthesis. After successful completion of this course, students will have gained an understanding of systematic reviews and meta-analysis and be able to conduct their own, state-of-the-art analyses.
Reduction on fees
PLEASE NOTE: This does not apply to the fee of the research master programmes (120 EC points)
No fees are charged for Erasmus MC PhD candidates, provided they have an account in Hora Finita, the Erasmus University PhD registration system.
In case of cancellation or no show, the cancellation policy applies based on the full course fee.
25% reduction for all (international) PhD candidates without formal appointment at Erasmus MC
Upon receipt of your application you will receive a request to upload proof of enrollment as a PhD candidate.