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New Methods for Emerging Issues in
Network meta-analysis (NMA) is a standard statistical network 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 pharmaceutical and medical device research design.
New meta analysis 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 such as FDA and EMA.
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 research 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? Watch our recorded webinar: Introduction to Network Meta-analysis