Author
Carlo Veltri
Recent research
- AI & ComputingOpen access
Imputing longitudinal PROM data at the item and score level in clinical trials
Abstract Background Missing data in patient-reported outcome measures (PROMs) can affect estimation accuracy and inferential validity, particularly under missing-at-random (MAR) mechanisms. Multiple imputation (MI) is commonly recommended, but the relative performance of item-lev...