module 20: meta-analysis

module 20: meta-analysis

  • module 20: meta-analysis
    09/09/2019 - 10/09/2019
    9:30 am - 5:00 pm
    -
    Mon 9/09: 9.30 am - 5.00 pm | S8 room 0.041
    Tue 10/09: 9.30 am - 5.00 pm | S8 room 0.041

Course details

week 1


Abstract

Meta-analysis encompasses an array of statistical methods for aggregating and comparing the results from related studies in a systematic manner. The focus of this course is on standard and advanced methods and techniques for analyzing meta-analytic data. We will start out by reviewing standard meta-analytic models (i.e., fixed-, random-, and mixed-effects meta-regression models), model diagnostic procedures, and the issue of publication bias. We then delve into more complex data structures that one may encounter in practice and consider appropriate models for analyzing such data. Models and techniques to be discussed in this context include multilevel and multivariate models, methods for dealing with dependent/correlated outcomes, and network meta-analysis / mixed treatment comparisons (MTCs).


Course structure

The course consists of a series of lectures and practical exercises. All analyses will be conducted in R using the metafor (https://cran.r-project.org/package=metafor) package, so participants are kindly asked to bring their own laptop with R and RStudio installed.


Prerequisites

Since the course is focused primarily on the statistical methods for a meta-analysis, it is useful to have a basic understanding of the formal steps of a research synthesis.


Instructor

Wolfgang Viechtbauer is associate professor of methodology and statistics at Maastricht University, the Netherlands. His research is primarily focused on statistical methods and software for meta-analysis and the analysis of longitudinal and multilevel studies using mixed-effects models. He is the author of the R package: metafor


Venue:  

Venue Phone: +32 9 264 48 84

Venue Website:

Address:
Krijgslaan 281, Gent, 9000, Belgium