Videos

1 expert is featured in this series.

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.

1 expert is featured in this series.

A panelist discusses how MAIC (Matching-Adjusted Indirect Comparison) methodology addresses the lack of head-to-head clinical trials in metastatic hormone-sensitive prostate cancer (mHSPC) by adjusting for differences in patient characteristics across separate studies to enable more reliable indirect treatment comparisons.