New Methods for Emerging Issues in
Network meta-analysis (NMA) is a standard statistical analysis method used in health technology assessments (HTA) for regulatory approval. It combines results from different studies within a network of evidence to estimate the relative difference in treatment effect of drugs or medical devices. NMA methodology is an active area of research design in pharma research as well as medical device research.
New methods are continually being developed to address new problems or to extend existing models. It is important to understand those methods and how they are received by regulatory agencies.
Join us as our panel of experts discusses some of the recent developments in Bayesian analysis.
- How statistical analysis has developed since the method was first published.
- How these new developments have been used to answer problems such as sparse data, time-to-event data, treatment interaction effects, and how real-world evidence (RWE) can be incorporated into a network meta analysis.
- How these new methods have been received by the National Institute for Health Care and Excellence (NICE).
Interested in learning more about the basics of meta analysis methodology? Attend our January 17 webinar: Introduction to Network Meta-analysis