Multiple imputation: A flexible tool for handling missing data

JAMA - Journal of the American Medical Association

Volumn 314, Issue 18, 2015, Pages 1966-1967

  Li, Peng ^a   Stuart, Elizabeth A ^b   Allison, David B ^a  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LOW DENSITY LIPOPROTEIN CHOLESTEROL; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR;

DATA ANALYSIS; HUMAN; INFORMATION PROCESSING; INTENTION TO TREAT ANALYSIS; MATHEMATICAL VARIABLE; MEASUREMENT ERROR; MEASUREMENT PRECISION; MULTIPLE IMPUTATION; PRIORITY JOURNAL; RANDOMIZATION; SHORT SURVEY; STATISTICAL ANALYSIS; UNCERTAINTY; VALIDITY; BLOOD; CARDIOVASCULAR DISEASES; ECONOMICS; FEMALE; MALE; MEDICATION COMPLIANCE; MOTIVATION; PATIENT PARTICIPATION; PRIMARY HEALTH CARE;

CARDIOVASCULAR DISEASES; CHOLESTEROL, LDL; FEMALE; HUMANS; HYDROXYMETHYLGLUTARYL-COA REDUCTASE INHIBITORS; MALE; MEDICATION ADHERENCE; MOTIVATION; PATIENT PARTICIPATION; PRIMARY HEALTH CARE;

EID: 84946761076     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2015.15281     Document Type: Short Survey

References (9)

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