Matching-adjusted indirect comparison

Matching-adjusted indirect comparison (MAIC) is a method used to compare treatments from different clinical trials when no direct head-to-head evidence exists. It uses individual patient data from one trial and adjusts it to match the average characteristics of patients in another trial, so the results can be compared more fairly across studies.