Event Details

• Registration deadline: July 31, 2024
• Date: Monday, September 9, 2024
• Time:  1:00 p.m. to 5:00 p.m. CET *Time is subject to change
• Delivery Method: In-person workshop with pre-recorded lectures available online for participants prior to the event.
• In-Person Location: Global Evidence Summit 2024, Prague, Czech Republic, Conference Meeting room G8. Before the workshop, further instructions on how to access the meeting room will be provided.

Workshop Description

Network meta-analysis (NMA) is a general term for the statistical methods used to simultaneously compare multiple treatments and their alternatives. NMA’s are often complex and challenging projects. This interactive workshop will provide an overview of NMA methods and their applications, including demonstrations of worked examples and hands-on sessions where participants will work through real-world examples.

Target Audience

This course is designed for health services researchers, epidemiologists, statisticians, systematic reviewers, and decision analysts.

Course Objectives

By attending this activity, participants will be able to:

• Understand the concept and the main principles of indirect treatment comparison and network meta-analysis;
• Explain different methods available for indirect comparisons and network meta-analysis;
• Understand the assumptions made in network meta-analysis (heterogeneity, transitivity, consistency) and how to examine them;
• Perform network meta-analysis using Stata, with continuous and dichotomous data;
• Learn different techniques to present the results from network meta-analysis and develop a treatment hierarchy using estimates from network meta-analysis and the certainty of evidence (using GRADE approach).

Assumed Knowledge and Materials

A basic understanding of common statistical concepts (e.g., confidence intervals and hypothesis tests) and, though not essential, some prior knowledge of systematic review and meta-analytic concepts.

Computer practicals will use Stata®, including the new network suite for performing NMA. Participants will receive free complementary Stata® licenses.

Please note: Equipment is required for this course. You must bring your own laptop/computer.

Instructors

Dr. Behnam Sadeghirad, is an assistant professor in the Department of Anesthesia and Department of Health Research Methods, Evidence and Impact at McMaster University and a research methodologist at Michael G. DeGroote Institute for Pain Research and Care. He is also a member of GRADE Working Group and Cochrane Anesthesia group. His research focus is methodology of systematic review and meta-analysis, network meta-analysis, evidence-based medicine and clinical practice guidelines. He has published over 100 systematic reviews and (network) meta-analyses in high-impact journals such as JAMA, BMJ, Annals of Internal Medicine, and taught in a number of evidence synthesis workshops and courses.

Dr. Lawrence Mbuagbaw, Research Methods Scientist and an associate professor at McMaster University and associate professor extraordinary of Epidemiology and Biostatistics at Stellenbosch University. He is also a research methods scientist in the Research Institute of St Joseph’s Health Care Hamilton where he provides methodological and statistical support for other researchers as the Director of the Biostatistics Unit. He teaches courses in biostatistics, randomized trials and evidence synthesis.

Dr. Ivan D. Florez, Pediatrician, MSc Clinical Epidemiology and PhD in Health Research Methodology. Full Professor at the Department of Pediatrics at the University of Antioquia (Medellin, Colombia) and Assistant Professor (adjunct) at McMaster University (Hamilton, Canada). He has published over 15 NMA in high impact journals and several articles on NMA methods and certainty of the evidence assessment. He is the Director of Cochrane Colombia and a member of the GRADE working group. He has taught several evidence synthesis courses and NMA workshops.

Workshop Schedule

Download the PDF Agenda

*Activity is subject to change