Multiple Imputation of Missing Data Using SAS
2015; Wiley; Volume: 83; Issue: 2 Linguagem: Inglês
10.1111/insr.12111_3
ISSN1751-5823
Autores Tópico(s)Bayesian Methods and Mixture Models
ResumoInternational Statistical ReviewVolume 83, Issue 2 p. 326-327 Book Review Multiple Imputation of Missing Data Using SAS Purna Mukhopadhyay, Purna Mukhopadhyay purna.mukhopadhyay@arborresearch.org Arbor Research Collaborative for Health, Uppsala University Västmanland County Hospital Västerås, 340 E Huron Street Suite 300, Ann Arbor, MI, 48108 USASearch for more papers by this author Purna Mukhopadhyay, Purna Mukhopadhyay purna.mukhopadhyay@arborresearch.org Arbor Research Collaborative for Health, Uppsala University Västmanland County Hospital Västerås, 340 E Huron Street Suite 300, Ann Arbor, MI, 48108 USASearch for more papers by this author First published: 30 July 2015 https://doi.org/10.1111/insr.12111_3Citations: 1Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Citing Literature Volume83, Issue2August 2015Pages 326-327 RelatedInformation
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