Comparison of methods for imputing ordinal data using multivariate normal imputation: A case study of non-linear effects in a large cohort study

Statistics in Medicine

Volumn 31, Issue 30, 2012, Pages 4164-4174

  Lee, Katherine J ^a,b   Galati, John C ^a   Simpson, Julie A ^b,c   Carlin, John B ^a,b  

^a MURDOCH CHILDREN'S RESEARCH INSTITUTE   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c CANCER EPIDEMIOLOGY CENTRE   (Australia)

Author keywords

Missing data; Multiple imputation; Multivariate normal imputation; Ordinal data

Indexed keywords

ALCOHOL CONSUMPTION; ARTICLE; BINOMIAL DISTRIBUTION; CALIBRATION; CANCER INCIDENCE; COHORT ANALYSIS; COLON CANCER; CONTROLLED STUDY; HUMAN; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; NONLINEAR SYSTEM; PROSPECTIVE STUDY; RANDOMIZATION; RISK FACTOR; SAMPLING ERROR; SIMULATION; STATISTICAL ANALYSIS;

ADULT; AGED; ALCOHOL DRINKING; BIAS (EPIDEMIOLOGY); COHORT STUDIES; COLONIC NEOPLASMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; LIFE STYLE; LOGISTIC MODELS; MIDDLE AGED; MULTIVARIATE ANALYSIS; NONLINEAR DYNAMICS; QUEENSLAND; RISK FACTORS;

EID: 84870952623     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.5445     Document Type: Article

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