Using multiple imputation to deal with missing data and attrition in longitudinal studies with repeated measures of patient-reported outcomes

OBJECTIVE: Missing data is a ubiquitous problem in studies using patient-reported measures, decreasing sample sizes and causing possible bias. In longitudinal studies, special problems relate to attrition and death during follow-up. We describe a methodological approach for the use of multiple imput... View More