Comparing multiple treatments 2: Statistical methods for network meta-analysis

Topic category Statistical methods and meta-analysis
Status
ID: 
W166
Date and Location
Date: 
Tuesday 2 October 2012 - 13:30 - 15:00
Location: 
Methods Group
Methods Group: 
Comparing Multiple Interventions Methods Group
Contact persons and facilitators
Contact person Affiliation Country
Georgia Salanti (Contact this person) University of Ioannina School of Medicine Greece
Facilitator Affiliation Country
Georgia Salanti University of Ioannina School of Medicine Greece
Julian Higgins MRC Biostatistics Unit United Kingdom
Christopher Schmid Brown University USA
Target audience
Target audience: 
Experienced review authors, statisticians and editors
Is your workshop restricted to a specific audience or open to all Colloquium participants?: 
Open
Level of knowledge required: 
Intermediate
Type of workshop
Type of workshop: 
Training
Abstract text
Abstract: 
Objectives:
To understand the statistical methodology of network meta-analyses and the assumption of consistency.

Description:
Network meta-analysis is the statistical methodology used to combine evidence in a network of trials that compares more than two interventions. The workshop will provide insight to network meta-analysis models that can be used to derive estimates for the relative effects of all treatments of interest. We will explore the different implementation alternatives (Bayesian versus frequentist) through worked examples and we will discuss extensively the underlying assumption of consistency. We will present models to check for and incorporate inconsistency in the results and present applications of multiple-treatments meta-regression models. Finally, we will discuss concerns regarding the role of bias in network meta-analysis.