Imputing longitudinal PROM data at the item and score level in clinical trials
Carlo A.G. Veltri, Ulrike Grittner, Pimrapat Gebert · 2026
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Description
Carlo Veltri, Ulrike Grittner, and Pimrapat Gebert compare ways to fill gaps in patient survey scores, in work from twenty twenty-six. Trials often ask patients to rate their own health over time. When replies go missing, the final scores can drift and mislead. A common fix fills each gap many times and pools the results. The open choice is to fill single items or to fill the total score.
The team runs a large fake trial study based on real trial patterns. Two fill methods are tested at both the item level and the score level. Both methods beat the simple choice of dropping gaps, most when gaps are many. Score-level fills gave a touch less error when gaps were severe. One method, called predictive mean matching, stayed steady across most settings.
Catalog record
| CREATOR | Carlo A.G. Veltri, Ulrike Grittner, Pimrapat Gebert |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |