Rounding strategies for multiply imputed binary data

Biometrical Journal

Volumn 51, Issue 4, 2009, Pages 677-688

  Demirtas, Hakan ^a  

^a UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

Author keywords

Linear mixed effects model; Missing data; Multiple imputation; Rounding

Indexed keywords

BINARY DATA; CONTINUOUS DATA; DISCRETE DATA; DISCRETE VARIABLES; GAUSSIANS; INCOMPLETE DATA; LINEAR MIXED-EFFECTS MODEL; MISSING DATA; MULTIPLE IMPUTATION; ROUNDING;

POPULATION STATISTICS;

NEUROLEPTIC AGENT;

ALGORITHM; ARTICLE; BIOMETRY; HUMAN; METHODOLOGY; OUTCOME ASSESSMENT; SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME;

ALGORITHMS; ANTIPSYCHOTIC AGENTS; BIOMETRY; DATA INTERPRETATION, STATISTICAL; HUMANS; LOGISTIC MODELS; OUTCOME ASSESSMENT (HEALTH CARE); SCHIZOPHRENIA; SENSITIVITY AND SPECIFICITY; TREATMENT OUTCOME;

EID: 70350716098     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.200900018     Document Type: Article

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