• Start date:
  • 20 April 2022
  • Duration:
  • 3 days
  • Intended Audience:
  • (Academic) researcher, PhD

BELOW INFORMATION IS SUBJECT TO CHANGE; PENDING LUMC POLICY AND COVID MEASUREMENTS. REGISTRATION WILL BE LAUNCHED BY MID DECEMBER.

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 Practical 1: Forest plots
12:30 Break and lunch
13:00 Heterogeneity and risk of bias
Prof. dr. Olaf Dekkers
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 Break and lunch
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
10:00 Break
10:15 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 Break and lunch
13:00 Tips and tricks for data-extraction
Prof. dr. Saskia le Cessie
14:00 Network meta analyses
Prof. dr. Saskia le Cessie
15:00 Final remarks
Prof. dr. Saskia le Cessie
15:30 End of course
Prof. dr. Cessie, S. Le (EPI)
LUMC, Hoogleraar Epidemiologie
Prof. dr. O.M. Dekkers
Hoogleraar Endocrinologie, LUMC
LUMC
,

LUMC
Gebouw: 1
Collegezaal 2 & J1-83

Parkeren en bereikbaarheid LUMC

To be determined. Prices will be announced in due course.