Addressing challenges with Matching-Adjusted Indirect Comparisons to demonstrate the comparative effectiveness of entrectinib in metastatic ROS-1 positive Non-Small Cell Lung Cancer

Addressing challenges with Matching-Adjusted Indirect Comparisons to demonstrate the comparative effectiveness of entrectinib in metastatic ROS-1 positive Non-Small Cell Lung Cancer

Abstract Background Matching Adjusted Indirect Comparison (MAIC) is a statistical method used to adjust for potential biases when comparing treatment effects between separate data sources, with aggregate data in one arm, and individual patients data in the other. However, acceptance of MAIC in healt...

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Bibliographic Details
Main Authors: Cyril Esnault, Louise Baschet, Vanessa Barbet, Gaëlle Chenuc, Maurice Pérol, Katia Thokagevistk, David Pau, Matthias Monnereau, Lise Bosquet, Thomas Filleron
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Medical Research Methodology
Subjects:
MAIC
QBA
Missing data
E-value
Residual confounding
Online Access:https://doi.org/10.1186/s12874-025-02500-w
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