In this discussion led by Thomas Debray, various challenges and considerations regarding the conduct of network meta-analysis (NMA) were thoroughly examined. NMA, a statistical technique used in evidence synthesis to compare multiple treatments simultaneously, presents a range of complexities. 

How do these complexities manifest, particularly in the context of regulatory interactions and methodological variations?
How can stakeholders effectively navigate these evolving requirements while maintaining methodological rigor?
What strategies can be employed to streamline documentation and enhance risk management throughout the NMA process
How can stakeholders address these technical challenges to ensure the reliability and validity of NMA results?
What criteria should stakeholders prioritize when selecting service providers, and how can they ensure effective collaboration and resource utilization
How can stakeholders facilitate effective knowledge exchange and collaboration with service providers to optimize NMA outcomes? 

In this engaging conversation, we explore the multifaceted landscape of NMA, delving into its methodological nuances, regulatory implications, and strategic considerations for stakeholders.

Join us as we navigate the dynamic terrain of NMA methodologies, uncovering the keys to successful regulatory interactions, risk management, and effective collaboration with service providers.

Through thoughtful analysis and practical insights, we aim to equip statisticians and researchers with the knowledge and strategies needed to tackle the challenges of NMA with confidence and proficiency.

Here are the key points we discuss: