Meta Analysis 2023
This course will give a broad overview of topics in meta-analysis. Most standard topics in meta-analysis will be covered, such as risk of bias analysis, searching studies, fixed versus random effect models, heterogeneity, publication bias, differences between meta-analysis of randomized trials and meta-analysis observational studies. The course will briefly cover some more advanced topics (bivariate meta-analysis, combining different metrics, network analysis).
All study materials are supplied electronically only in the Boerhaave Learning Environment, and will be made available about 2 weeks prior to the course.
Basic knowledge of statistics (equivalent to the Boerhaave course "Basic methods and reasoning in Biostatistics").
A computer / laptop with proper internet access for all participants is mandatory. Students also need the STATA software or R software (R and R studio) pre-installed. No pre-knowledge of the software is required. A temporary Stata license will be provided. In practical sessions, students will perform a standard meta-analysis by themselves.
Lectures and practical sessions
Certificate of attendance
In order to obtain a proof of participation, all lectures should be attended. If you have participated for the full 3 days, you will receive a certificate of attendance within two weeks. Those who are enrolled in the Epidemiology-B programme of the department of clinical epidemiology, should make an extra post-course assignment, which will be graded.
Course material (PowerPoint, exercises etc.) are all in English. Lectures are also in English.
Master and PhD students in the bio-medical sciences.
- Prof. dr. Olaf Dekkers
- Prof. dr. Saskia le Cessie
- LUMC, Building: 1, Lecture Hall 2, , Route description to the LUMC and parking