Author

Carlo Veltri

0 works0 citationsORCID

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...

    BMC Medical Research Methodology2026-09-040 citationsDOI