Indirect treatment comparisons (ITC) and mixed treatment comparisons (MTC), collectively referred to as Network Meta-Analysis (NMA), are increasingly used in health technology assessment. They are statistical techniques to synthesise available direct and indirect evidence to provide information on the comparative effectiveness and safety of a range of competing interventions.
Network meta-analyses are often complex and challenging projects to specify and undertake and bring with them a range of planning considerations that are critical for a successful end product. These considerations include specifying the review question, identifying relevant studies, deciding how to assess the similarity of studies in a potential network and developing the statistical analysis plan and using the Network Meta Analysis output in economic models.
This two day training session in Network Meta-Analysis is offered by our statisticians from Quantics and experienced reviewers from YHEC who we have collaborated together on many network meta-analyses to inform HTA submissions and market access planning exercises. The workshop is intended to offer project managers, research commissioners and others new to these techniques an introduction to the practical issues involved in commissioning and performing Network Meta Analyses. This training day does not involve coding with WinBUGS or other programming software.