HEOR Theater - Effect Modification in Network Meta-Analysis: Is Population Adjustment Always the Answer?

October 28, 2021

Open to all ISPOR Members and Non-members

Presented by

  • Jack Ishak, PhD

October 28, 2021
12:00PM EDT | 5:00PM BST | 6:00PM CEST 

Click here for time zone conversion

Indirect treatment comparisons (ITC) are central to health technology assessment as direct evidence on the relative effectiveness of treatments is rarely available.  Network meta-analysis is the preferred approach for ITC but may be inadequate in the presence of imbalances in effect modifiers in the network.  A growing set of methods are available for population adjusted indirect comparison (PAIC) and are being used increasingly to adjust for this bias.  This session takes a close look at effect modification in the context of ITCs to define what it is and uses simple examples to illustrate different patterns and their impact on choice of analytic methods. 

Learning Objectives:

  • Understand what effect modification means in the context of ITCs
  • Recognize the implications of different patterns of effect modification in the network
  • Determine if and when population adjustment is appropriate

Register Here

Sponsored by: Evidera 


Jack Ishak, PhD, Vice President, Statistical Methodology and Strategy, Evidence Synthesis, Modeling & Communication, Evidera, Montreal, Canada 

Please note: On the day of the scheduled HEOR Theater, the first 1000 registered participants will be accepted. For those who are unable to attend, or would like to review the HEOR Theater On-Demand at a later date, please register using the link above to access the full-length recording. 

Reservations are on a first-come, first-served basis.

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