Imputations of missing values in practice: Results from imputations of serum cholesterol in 28 cohort studies

American Journal of Epidemiology

Volumn 160, Issue 1, 2004, Pages 34-45

  Barzi, Federica ^a   Woodward, Mark ^a  

^a GEORGE INSTITUTE FOR INTERNATIONAL HEALTH   (Australia)

Author keywords

Bias; Cholesterol; Coronary disease; Hazard rate; Imputation; Meta analysis; Missing data; Mortality

Indexed keywords

CHOLESTEROL;

COHORT ANALYSIS; DATA QUALITY; EPIDEMIOLOGY;

ADULT; ARTICLE; CHOLESTEROL BLOOD LEVEL; CORONARY ARTERY DISEASE; FEMALE; HUMAN; MALE; MORTALITY; SENSITIVITY ANALYSIS; SIMULATION; TECHNIQUE;

ADULT; ASIA, SOUTHEASTERN; AUSTRALIA; BIAS (EPIDEMIOLOGY); BLOOD PRESSURE; CHOLESTEROL; COHORT STUDIES; CORONARY DISEASE; FEMALE; HUMANS; MALE; META-ANALYSIS; NEW ZEALAND; PREDICTIVE VALUE OF TESTS; SOFTWARE;

EID: 3042807973     PISSN: 00029262     EISSN: None     Source Type: Journal    
DOI: 10.1093/aje/kwh175     Document Type: Article

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