Meta-Analysis 2022
- Start date:
- 20 April 2022
- Duration:
- 3 days
- Intended Audience:
- PhD
Introduction
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).
Course material
All study materials are supplied electronically only in the Boerhaave Learning Environment, and will be made available about 2 weeks prior to the course.
Prerequisites
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.
Teaching environment
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.
Language
Course material (PowerPoint, exercises etc.) are all in English. Lectures are also in English.
Target group
Master and PhD students in the bio-medical sciences.
Organizing committee
- Prof. dr. Olaf Dekkers
- Prof. dr. Saskia le Cessie
| WEDNESDAY 20 APRIL 2022 | |
| 08.45 | Registration |
| 09:00 | Introduction to the course Prof. dr. Olaf Dekkers |
| 09:10 | Meta-analysis: Why & how? Prof. dr. Olaf Dekkers |
| 10:15 | Break |
| 10:30 | The statistical approach Prof. dr. Saskia le Cessie |
| 11:30 | Heterogeneity and risk of bias Prof. dr. Olaf Dekkers |
| 12:45 | Lunch break |
| 13:15 | Practical 1: Forest plots |
| 14:15 | Pooling effect estimates I Prof. dr. Saskia le Cessie |
| 15:15 | End of day 1 |
| THURSDAY 21 APRIL 2022 | |
| 08:45 | Registration |
| 09:00 | Heterogeneity: Statistical Prof. dr. Saskia le Cessie |
| 10:00 | Publication bias Prof. dr. Olaf Dekkers |
| 10:30 | Break |
| 10:45 | Practical 2: Pooling effects |
| 12:00 | Lunch break |
| 13:00 | Meta-analysis of observational studies Prof. dr. Olaf Dekkers |
| 13:45 | Practical 3: Risk of bias analysis Prof. dr. Olaf Dekkers |
| 14:45 | Break |
| 15:00 | Publication bias: Statistical Prof. dr. Saskia le Cessie |
| 16:00 | End of day 2 |
| FRIDAY 22 APRIL 2022 | |
| 08:45 | Registration |
| 09:00 | Pooling different effect measures Prof. dr. Olaf Dekkers |
| 09:45 | Break |
| 10:00 | Practical 4: Publication bias and meta regression Prof. dr. Saskia le Cessie |
| 11:15 | Pooling effect estimates : binary outcomes Prof. dr. Saskia le Cessie |
| 12:00 | Lunch break |
| 13:00 | Tips and tricks for data-extraction Prof. dr. Saskia le Cessie |
| 14:00 | Network meta analyses + practical Prof. dr. Saskia le Cessie |
| 15:00 | Final remarks Prof. dr. Saskia le Cessie |
| 15:30 | End of course |
| Regular course fee | € 950,- |
| Reduced fee for PhD students LUMC | € 150,- |
| Reduced fee for employees LUMC | € 150,- |
| BA/MA students of the Leiden University | Free of charge * |
| BA/MA students of other universities (non Leiden University) | € 75,-* |
* Limited places available. In order to validate your student registration, you must register with your student e-mail address and submit your student number on the registration form. In addition, a scan of your student pass will have to be submitted to boerhaavenacholing@lumc.nl. Please note that a € 45,- cancellation fee will be charged to students who do not attend the course (no show), or cancel their registration.
