Interim analysis involves evaluating data at various points during the trial, rather than waiting until its conclusion. This can help in:
Detecting early evidence of treatment efficacy or harm Making decisions about continuing, modifying, or stopping the trial Ensuring participant safety through ongoing monitoring
However, interim analyses must be carefully planned and controlled to avoid introducing bias or inflating the type I error rate.
