Practical Issues in Producing Network Meta-Analyses for HTA
Date:
19/05/2020 - 20/05/2020
Organised by:
York Health Economics Consortium
Presenter:
Rachael McCool (Project Director) at YHEC and Statisticians from Quantics
Level:
Entry (no or almost no prior knowledge)
Contact:
Niki Baines, 01904323204, niki.baines@york.ac.uk
Description:
Indirect treatment comparisons (ITC) and mixed treatment comparisons (MTC), collectively referred to as network meta-analysis (NMA), are increasingly used in health technology assessment (HTA). 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.
NMAs 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 NMA output in economic models.
This two day workshop is offered by experienced reviewers from YHEC and statisticians from Quantics who have collaborated together on many NMAs 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 NMAs. This training day does not involve coding with WinBUGS or other programming software.
We ask that you bring your own laptops to this course. If you do not have access to a laptop, please contact Niki (Training Course Administrator).
Cost:
Early bird: £780
Website and registration:
Region:
Yorkshire and Humberside
Keywords:
Frameworks for Research and Research Designs, Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis, Mixed Methods Data Handling and Data Analysis, Research Management and Impact, Research Skills, Communication and Dissemination
Related publications and presentations:
Frameworks for Research and Research Designs
Data Collection
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Mixed Methods Data Handling and Data Analysis
Research Management and Impact
Research Skills, Communication and Dissemination