Missing data in a multi-item instrument were best handled by multiple imputation at the item score level - Eekhout, Iris; de Vet, Henrica C.W.; Twisk, Jos W.R.; Brand, Jaap P.L.; de Boer, Michiel R.; Heymans, Martijn W. (Journal of clinical epidemiology, 2014)
Keywords: Algorithms; Analysis. Health state; Back pain; Bias; Biological and medical sciences; Computer Simulation; Data Interpretation, Statistical; Epidemiology; General aspects; Humans; Internal Medicine; Inventory; Item imputation; Linear Models; Medical research; Medical sciences; Methodology; Methods; Missing data; Multi-item questionnaire; Multiple imputation; Public health. Hygiene; Public health. Hygiene-occupational medicine; Research Design; Simulation; Software; Studies; Missing data; Simulation; Bias; Multi-item questionnaire; Multiple imputation; Item imputation; Methods; Multiple; Questionnaire; Methodology; Method; Epidemiology; Medicine; Score; Public health