{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T23:33:26Z","timestamp":1721950406455},"reference-count":68,"publisher":"Walter de Gruyter GmbH","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,10,25]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>We propose a new bi-level feature selection method for high dimensional accelerated failure time models by formulating the models to a single index model. The method yields sparse solutions at both the group and individual feature levels along with an expedient algorithm, which is computationally efficient and easily implemented. We analyze a genomic dataset for an illustration, and present a simulation study to show the finite sample performance of the proposed method.<\/jats:p>","DOI":"10.1515\/sagmb-2019-0016","type":"journal-article","created":{"date-parts":[[2019,9,16]],"date-time":"2019-09-16T09:01:36Z","timestamp":1568624496000},"source":"Crossref","is-referenced-by-count":1,"title":["Bi-level feature selection in high dimensional AFT models with applications to a genomic study"],"prefix":"10.1515","volume":"18","author":[{"given":"Hailin","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jizi","family":"Shangguan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peifeng","family":"Ruan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","reference":[{"key":"ref461","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.csda.2017.02.014","article-title":"Variable selection for high-dimensional genomic data with censored outcomes using group lasso prior","volume":"112","year":"2017","journal-title":"Comput. 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