Different methods of population-adjusted indirect treatment comparisons (PAICs) have been proposed to “correct” for the role of effect modifiers (EMs). Recently, case-studies demonstrated the circumstances when these assumptions can be reliably justified which mainly depend on data availability (sample size), type of outcomes and other statistical considerations.
The second webinar in this series will address the following questions:
- How to reliably select EMs for inclusion in the PAICs?
- What to do when published evidence on EMs contradicts with evidence from trial individual patient-data?
- Should adjusting for EMs be the “norm” and when is best not to adjust for EMs?
