Multiple imputation of missing values was not necessary before performing a longitudinal mixed-model analysis

Journal of Clinical Epidemiology

Volumn 66, Issue 9, 2013, Pages 1022-1028

  Twisk, Jos ^a,b   De Boer, Michiel ^b   De Vente, Wieke ^c   Heymans, Martijn ^a,b  

^a VU UNIVERSITY MEDICAL CENTER   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

^c UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

Longitudinal studies; Missing data mechanisms; Missing data patterns; Mixed models; Multiple imputation; Statistical methods

Indexed keywords

ARTICLE; DATA ANALYSIS; LONGITUDINAL STUDY; MIXED MODEL ANALYSIS; MONTE CARLO METHOD; NORMAL DISTRIBUTION; OUTCOME VARIABLE; PRIORITY JOURNAL;

LONGITUDINAL STUDIES; MISSING DATA MECHANISMS; MISSING DATA PATTERNS; MIXED MODELS; MULTIPLE IMPUTATION; STATISTICAL METHODS;

DATA INTERPRETATION, STATISTICAL; HUMANS; LONGITUDINAL STUDIES; MODELS, STATISTICAL; PATIENT DROPOUTS; RESEARCH DESIGN;

EID: 84882918433     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2013.03.017     Document Type: Article

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