Multiple imputation for harmonizing longitudinal non-commensurate measures in individual participant data meta-analysis

Statistics in Medicine

Volumn 34, Issue 26, 2015, Pages 3399-3414

  Siddique, Juned ^a   Reiter, Jerome P ^b   Brincks, Ahnalee ^c   Gibbons, Robert D ^d   Crespi, Catherine M ^e   Brown, C Hendricks ^a  

^a NORTHWESTERN UNIVERSITY   (United States)

^b Duke University   (United States)

^c UNIVERSITY OF MIAMI MILLER SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF CHICAGO   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Data fusion; Data synthesis; External data calibration; Individual participant data meta analysis; Multiple imputation; Posterior predictive checking

Indexed keywords

FLUOXETINE; ANTIDEPRESSANT AGENT;

ARTICLE; CALIBRATION; CONTROLLED STUDY; DEPRESSION; HUMAN; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL VARIABLE; META ANALYSIS (TOPIC); MULTIPLE IMPUTATION; OUTCOME ASSESSMENT; RANDOMIZED CONTROLLED TRIAL (TOPIC); ADOLESCENT; CHILD; CHILD PSYCHOLOGY; FEMALE; LONGITUDINAL STUDY; MALE; METHODOLOGY; STATISTICAL MODEL; TREATMENT OUTCOME;

ADOLESCENT; ANTIDEPRESSIVE AGENTS, SECOND-GENERATION; CALIBRATION; CHILD; DEPRESSION; FEMALE; FLUOXETINE; HUMANS; LONGITUDINAL STUDIES; MALE; META-ANALYSIS AS TOPIC; MODELS, STATISTICAL; PSYCHOLOGY, ADOLESCENT; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN; TREATMENT OUTCOME;

EID: 84943198980     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6562     Document Type: Article

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