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
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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
Sponsored by: Evidera
Presenters:
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.