Analysis of binary outcomes with missing data: Missing = smoking, last observation carried forward, and a little multiple imputation

Addiction

Volumn 102, Issue 10, 2007, Pages 1564-1573

  Hedeker, Donald ^a   Mermelstein, Robin J ^a   Demirtas, Hakan ^a  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Dichotomous outcomes; Imputation; LOCF; Missing data; Smoking

Indexed keywords

HUMAN; INTERVIEW; REVIEW; RISK; SAMPLING; SMOKING; SMOKING CESSATION; TELEPHONE; TELEVISION;

BIAS (EPIDEMIOLOGY); CLINICAL TRIALS AS TOPIC; DATA COLLECTION; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MODELS, STATISTICAL; OBSERVATION; REPRODUCIBILITY OF RESULTS; SMOKING; SMOKING CESSATION;

EID: 34548549316     PISSN: 09652140     EISSN: 13600443     Source Type: Journal    
DOI: 10.1111/j.1360-0443.2007.01946.x     Document Type: Review

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