
A panelist discusses how Matching-Adjusted Indirect Comparison (MAIC) analyses are limited by potential unmeasured confounding factors, small effective sample sizes after matching, and reliance on published aggregate data, which should be carefully considered when interpreting findings as complementary rather than definitive evidence for treatment decisions.


























