Title: Bayesian Survival Analysis Using Bernstein Polynomials
Abstract: Scandinavian Journal of StatisticsVolume 32, Issue 3 p. 447-466 Bayesian Survival Analysis Using Bernstein Polynomials I-SHOU CHANG, I-SHOU CHANG President's Laboratory, National Health Research InstitutesSearch for more papers by this authorCHAO A. HSIUNG, CHAO A. HSIUNG Division of Biostatistics and Bioinformatics, National Health Research InstitutesSearch for more papers by this authorYUH-JENN WU, YUH-JENN WU President's Laboratory, National Health Research InstitutesSearch for more papers by this authorCHE-CHI YANG, CHE-CHI YANG Department of Information Management, Lunghwa UniversitySearch for more papers by this author I-SHOU CHANG, I-SHOU CHANG President's Laboratory, National Health Research InstitutesSearch for more papers by this authorCHAO A. HSIUNG, CHAO A. HSIUNG Division of Biostatistics and Bioinformatics, National Health Research InstitutesSearch for more papers by this authorYUH-JENN WU, YUH-JENN WU President's Laboratory, National Health Research InstitutesSearch for more papers by this authorCHE-CHI YANG, CHE-CHI YANG Department of Information Management, Lunghwa UniversitySearch for more papers by this author First published: 11 August 2005 https://doi.org/10.1111/j.1467-9469.2005.00451.xCitations: 30 I. Shou Chang, President's Laboratory, National Health Research Institutes, 35, Keyan Road, Zhunan Town, Miaoli County 350, Taiwan. E-mail: [email protected] AboutPDF 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 onEmailFacebookTwitterLinkedInRedditWechat Abstract Abstract. Bayesian survival analysis of right-censored survival data is studied using priors on Bernstein polynomials and Markov chain Monte Carlo methods. These priors easily take into consideration geometric information like convexity or initial guess on the cumulative hazard functions, select only smooth functions, can have large enough support, and can be easily specified and generated. 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Publication Year: 2005
Publication Date: 2005-08-11
Language: en
Type: article
Indexed In: ['crossref']
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