Combining multiple imputation and meta-analysis with individual participant data

Statistics in Medicine

Volumn 32, Issue 26, 2013, Pages 4499-4514

  Burgess, Stephen ^a   White, Ian R ^a   Resche Rigon, Matthieu ^a   Wood, Angela M ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Individual participant data; Meta analysis; Missing data; Multiple imputation; Rubin's rules

Indexed keywords

LOW DENSITY LIPOPROTEIN CHOLESTEROL;

ARTICLE; CHOLESTEROL BLOOD LEVEL; CONFIDENCE INTERVAL; CONGENIALITY; CONTROLLED STUDY; DATA ANALYSIS; ERROR; HOMOSCEDASTIC STRATIFIED ANALYSIS; HUMAN; INTERMETHOD COMPARISON; INVERSE VARIANCE WEIGHTED FIXED EFFECT ANALYSIS; INVERSE VARIANCE WEIGHTED RANDOM EFFECTS ANALYSIS; RUBIN RULE; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL CONCEPTS; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICS; STRATIFIED IMPUTATION METHOD; SYSTOLIC BLOOD PRESSURE; WITHIN STUDY IMPUTATION METHOD; BLOOD; BLOOD PRESSURE; COMPUTER SIMULATION; META ANALYSIS (TOPIC); PHYSIOLOGY;

BLOOD PRESSURE; CHOLESTEROL, LDL; COMPUTER SIMULATION; CONFIDENCE INTERVALS; HUMANS; META-ANALYSIS AS TOPIC; MODELS, STATISTICAL;

EID: 84885418293     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5844     Document Type: Article

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