A note on the relationships between multiple imputation, maximum likelihood and fully bayesian methods for missing responses in linear regression models

Statistics and its Interface

Volumn 6, Issue 3, 2013, Pages 315-324

  Chen, Qingxia ^a   Ibrahim, Joseph G ^b  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b University of North Carolina at Chapel Hill   (United States)

Author keywords

Fully bayesian, Missing response; Maximum likelihood; Missing at random; Missing data; Multiple imputation

Indexed keywords

EID: 84885109355     PISSN: 19387989     EISSN: 19387997     Source Type: Journal    
DOI: 10.4310/SII.2013.v6.n3.a2     Document Type: Article

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