Imputation of systematically missing predictors in an individual participant data meta-analysis: A generalized approach using MICE

Statistics in Medicine

Volumn 34, Issue 11, 2015, Pages 1841-1863

  Jolani, Shahab ^a   Debray, Thomas P A ^b   Koffijberg, Hendrik ^b   van Buuren, Stef ^c   Moons, Karel G M ^b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^c TNO   (Netherlands)

Author keywords

IPD meta analysis; Missing data; Multilevel model; Multiple imputation; Prediction research

Indexed keywords

ALGORITHM; ARTICLE; CALCULATION; CONTROLLED STUDY; COVARIANCE; DEEP VEIN THROMBOSIS; HUMAN; LINEAR SYSTEM; MATHEMATICAL COMPUTING; MAXIMUM LIKELIHOOD METHOD; MULTILEVEL MULTIPLE IMPUTATION; MULTIVARIATE ANALYSIS; MULTIVARIATE IMPUTATION BY CHAINED EQUATION; NONLINEAR SYSTEM; PREDICTION; PREVALENCE; PROBABILITY; RESCHE RIGON METHOD; SIMULATION; STATISTICAL DISTRIBUTION; STATISTICAL MODEL; STRATIFIED MULTIPLE IMPUTATION; TRADITIONAL MULTIPLE IMPUTATION; COMPUTER SIMULATION; META ANALYSIS (TOPIC); PREDICTIVE VALUE; RISK ASSESSMENT; RISK FACTOR; VENOUS THROMBOSIS;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; LINEAR MODELS; META-ANALYSIS AS TOPIC; PREDICTIVE VALUE OF TESTS; PROBABILITY; RISK ASSESSMENT; RISK FACTORS; VENOUS THROMBOSIS;

EID: 84926444242     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.6451     Document Type: Article

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