Missing data and multiple imputation in clinical epidemiological research

• Published in: Clinical epidemiology Vol. 9; pp. 157 - 166
• Main Authors: Pedersen, Alma, Mikkelsen, Ellen, Cronin-Fenton, Deirdre, Kristensen, Nickolaj, Pham, Tra My, Pedersen, Lars, Petersen, Irene
• Format: Journal Article
• Language: English
• Published: New Zealand Dove Medical Press Limited 01.01.2017; Taylor & Francis Ltd; Dove Medical Press
• Subjects: Analysis; Blood pressure; Body mass index; Clinical medicine; Comorbidity; Data collection; Epidemiology; MAR; MCAR; Medical research; Methodology; Missing data; Missing observations (Statistics); MNAR; multiple imputation; Multiple imputation (Statistics); Observational studies; observational study; Patients; Registration; Researchers; Studies; Variables; Denmark; Aarhus Denmark; multiple imputation; MCAR; MNAR; missing data; MAR; observational study

Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following three types: missing completely at random (MC...