Combining complete multivariate outcomes with incomplete covariate information: A latent class approach

Biometrics

Volumn 58, Issue 1, 2002, Pages 110-120

  Xue, Q L ^a   Bandeen Roche, K ^a  

^a JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

Latent variable; Measurement error; Missing covariate; Mixture model; Multivariate categorical data; Pseudo maximum likelihood; Screening program

Indexed keywords

CATEGORICAL DATA; COVARIATES; LATENT VARIABLE; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; MISSING COVARIATE; MIXTURE MODELING; MULTIVARIATE CATEGORICAL DATA; PSEUDO-MAXIMUM LIKELIHOOD; SCREENING PROGRAMS;

MAXIMUM LIKELIHOOD ANALYSIS; MEDICAL GEOGRAPHY; MULTIVARIATE ANALYSIS; WOMENS HEALTH;

AGED; AGING; ARTICLE; BIOSTATISTICS; CONTROLLED STUDY; DISABILITY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MONTE CARLO METHOD; MULTIVARIATE ANALYSIS; OUTCOMES RESEARCH; REGRESSION ANALYSIS; SCREENING;

EID: 0036188786     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.2002.00110.x     Document Type: Article

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