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However, there are considerable challenges in analyzing large-scale molecular data.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We propose new Bayesian hierarchical Cox proportional hazards models, called the spike-and-slab lasso Cox, for predicting survival outcomes and detecting associated genes. We also develop an efficient algorithm to fit the proposed models by incorporating Expectation-Maximization steps into the extremely fast cyclic coordinate descent algorithm. The performance of the proposed method is assessed via extensive simulations and compared with the lasso Cox regression. We demonstrate the proposed procedure on two cancer datasets with censored survival outcomes and thousands of molecular features. Our analyses suggest that the proposed procedure can generate powerful prognostic models for predicting cancer survival and can detect associated genes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Availability and implementation<\/jats:title><jats:p>The methods have been implemented in a freely available R package BhGLM (http:\/\/www.ssg.uab.edu\/bhglm\/).<\/jats:p><\/jats:sec><jats:sec><jats:title>Supplementary information<\/jats:title><jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p><\/jats:sec>","DOI":"10.1093\/bioinformatics\/btx300","type":"journal-article","created":{"date-parts":[[2017,5,3]],"date-time":"2017-05-03T19:11:11Z","timestamp":1493838671000},"page":"2799-2807","source":"Crossref","is-referenced-by-count":53,"title":["The spike-and-slab lasso Cox model for survival prediction and associated genes detection"],"prefix":"10.1093","volume":"33","author":[{"given":"Zaixiang","family":"Tang","sequence":"first","affiliation":[{"name":"Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA"},{"name":"Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, and Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, China"},{"name":"Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA"}]},{"given":"Yueping","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA"},{"name":"Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, and Center for Genetic Epidemiology and Genomics, Medical College of Soochow University, Suzhou, China"}]},{"given":"Xinyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA"}]},{"given":"Nengjun","family":"Yi","sequence":"additional","affiliation":[{"name":"Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA"}]}],"member":"286","published-online":{"date-parts":[[2017,5,4]]},"reference":[{"key":"2023020206404583800_btx300-B1","doi-asserted-by":"crossref","DOI":"10.1201\/b12677","volume-title":"Computational Systems Biology of Cancer","author":"Barillot","year":"2012"},{"key":"2023020206404583800_btx300-B2","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1093\/bioinformatics\/btq660","article-title":"Bayesian ensemble methods for survival prediction in gene expression data","volume":"27","author":"Bonato","year":"2011","journal-title":"Bioinformatics"},{"key":"2023020206404583800_btx300-B3","doi-asserted-by":"crossref","first-page":"2080","DOI":"10.1093\/bioinformatics\/btm305","article-title":"Predicting survival from microarray data\u2013a comparative study","volume":"23","author":"Bovelstad","year":"2007","journal-title":"Bioinformatics"},{"key":"2023020206404583800_btx300-B4","doi-asserted-by":"crossref","first-page":"413.","DOI":"10.1186\/1471-2105-10-413","article-title":"Survival prediction from clinico-genomic models\u2013a comparative study","volume":"10","author":"Bovelstad","year":"2009","journal-title":"BMC Bioinform"},{"key":"2023020206404583800_btx300-B5","doi-asserted-by":"crossref","first-page":"89","DOI":"10.2307\/2529620","article-title":"Covariance analysis of censored survival data","volume":"30","author":"Breslow","year":"1974","journal-title":"Biometrics"},{"key":"2023020206404583800_btx300-B6","first-page":"216","article-title":"Contribution to the discussion of the paper by D.R. 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