Treatment of nonignorable missing data when modeling unobserved heterogeneity with finite mixture models

Biometrical Journal

Volumn 59, Issue 1, 2017, Pages 159-171

  Lehmann, Thomas ^a   Schlattmann, Peter ^a  

^a JENA UNIVERSITY HOSPITAL   (Germany)

Author keywords

Mixture model; MNAR; Nonignorable missing data

Indexed keywords

ITERATIVE METHODS;

FINITE MIXTURE MODELING; IMPUTATION OF MISSING VALUES; INCOMPLETE DATA; MISSING DATA; MIXTURE MODELING; MNAR; MULTIPLE IMPUTATION; NONIGNORABLE MISSING DATA; PARAMETERS ESTIMATES; UNOBSERVED HETEROGENEITY;

PARAMETER ESTIMATION;

ALGORITHM; COMPUTER SIMULATION; HUMAN; INFORMATION PROCESSING; NUTRITION; STANDARDS; STATISTICAL ANALYSIS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; UNCERTAINTY;

ALGORITHMS; COMPUTER SIMULATION; DATA COLLECTION; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, STATISTICAL; NUTRITION SURVEYS; UNCERTAINTY;

EID: 84996992962     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201500037     Document Type: Article

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