Missing data

In Trial design & structure

Missing data is information a trial planned to collect but did not obtain, from a single blank field to a participant's entire follow-up. It matters because the reason data is missing is often related to the outcome, which can bias the results. Trials pre-specify how missing data will be handled and, more importantly, work to prevent it.

Turn the vocabulary into a career

The free CRLN Career Finder maps your background to a clinical-research role and builds a step-by-step roadmap. No cost, no card.

Educational reference only. Where regional rules differ, follow the regulation and the written procedures that apply where you work.