{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,6]],"date-time":"2026-04-06T10:53:40Z","timestamp":1775472820240,"version":"3.50.1"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T00:00:00Z","timestamp":1705449600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T00:00:00Z","timestamp":1705449600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["2022M3J6A1063595"],"award-info":[{"award-number":["2022M3J6A1063595"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["2022R1A2C1008514"],"award-info":[{"award-number":["2022R1A2C1008514"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"crossref","award":["RS-2023-00237435"],"award-info":[{"award-number":["RS-2023-00237435"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Korea University Research Grant","award":["K2018721"],"award-info":[{"award-number":["K2018721"]}]},{"name":"Korea University Research Grant","award":["K2008341"],"award-info":[{"award-number":["K2008341"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comput Stat"],"published-print":{"date-parts":[[2024,9]]},"DOI":"10.1007\/s00180-023-01446-1","type":"journal-article","created":{"date-parts":[[2024,1,17]],"date-time":"2024-01-17T09:02:26Z","timestamp":1705482146000},"page":"3457-3482","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Censored broken adaptive ridge regression in high-dimension"],"prefix":"10.1007","volume":"39","author":[{"given":"Jeongjin","family":"Lee","sequence":"first","affiliation":[]},{"given":"Taehwa","family":"Choi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6983-5821","authenticated-orcid":false,"given":"Sangbum","family":"Choi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,1,17]]},"reference":[{"issue":"6","key":"1446_CR1","doi-asserted-by":"publisher","first-page":"2350","DOI":"10.1214\/aos\/1032181158","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman L (1996) Heuristics of instability and stabilization in model selection. Ann Stat 24(6):2350\u20132383","journal-title":"Ann Stat"},{"issue":"3","key":"1446_CR2","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1093\/biomet\/66.3.429","volume":"66","author":"J Buckley","year":"1979","unstructured":"Buckley J, James I (1979) Linear regression with censored data. Biometrika 66(3):429\u2013436","journal-title":"Biometrika"},{"key":"1446_CR3","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1016\/j.jkss.2018.10.003","volume":"48","author":"S Choi","year":"2019","unstructured":"Choi S, Cho H (2019) Accelerated failure time models for the analysis of competing risks. J Korean Stat Soc 48:315\u2013326","journal-title":"J Korean Stat Soc"},{"issue":"16","key":"1446_CR4","doi-asserted-by":"publisher","first-page":"3385","DOI":"10.1080\/00949655.2021.1927034","volume":"91","author":"T Choi","year":"2021","unstructured":"Choi T, Choi S (2021) A fast algorithm for the accelerated failure time model with high-dimensional time-to-event data. J Stat Comput Simul 91(16):3385\u20133403","journal-title":"J Stat Comput Simul"},{"issue":"2","key":"1446_CR5","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1002\/sim.9232","volume":"41","author":"S Choi","year":"2022","unstructured":"Choi S, Choi T, Cho H, Bandyopadhyay D (2022) Weighted least-squares regression with competing risks data. Stat Med 41(2):227\u2013241","journal-title":"Stat Med"},{"key":"1446_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2021.107306","volume":"164","author":"T Choi","year":"2021","unstructured":"Choi T, Kim AK, Choi S (2021) Semiparametric least-squares regression with doubly-censored data. Comput Stat Data Anal 164:107306","journal-title":"Comput Stat Data Anal"},{"issue":"2","key":"1446_CR7","first-page":"1069","volume":"30","author":"L Dai","year":"2020","unstructured":"Dai L, Chen K, Li G (2020) The broken adaptive ridge procedure and its applications. Statistica Sinica 30(2):1069\u20131094","journal-title":"Statistica Sinica"},{"key":"1446_CR8","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1016\/j.jmva.2018.08.007","volume":"168","author":"L Dai","year":"2018","unstructured":"Dai L, Chen K, Sun Z, Liu Z, Li G (2018) Broken adaptive ridge regression and its asymptotic properties. J Multivar Anal 168:334\u2013351","journal-title":"J Multivar Anal"},{"issue":"1","key":"1446_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1002\/cpa.20303","volume":"63","author":"I Daubechies","year":"2010","unstructured":"Daubechies I, DeVore R, Fornasier M, G\u00fcnt\u00fcrk CS (2010) Iteratively reweighted least squares minimization for sparse recovery. Commun Pure Appl Math J Issued Courant Instit Math Sci 63(1):1\u201338","journal-title":"Commun Pure Appl Math J Issued Courant Instit Math Sci"},{"issue":"456","key":"1446_CR10","doi-asserted-by":"publisher","first-page":"1348","DOI":"10.1198\/016214501753382273","volume":"96","author":"J Fan","year":"2001","unstructured":"Fan J, Li R (2001) Variable selection via nonconcave penalized likelihood and its oracle properties. J Am Stat Assoc 96(456):1348\u20131360","journal-title":"J Am Stat Assoc"},{"issue":"2","key":"1446_CR11","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0148620","volume":"11","author":"F Frommlet","year":"2016","unstructured":"Frommlet F, Nuel G (2016) An adaptive ridge procedure for $$l_0$$ regularization. PloS one 11(2):e0148620","journal-title":"PloS one"},{"issue":"4","key":"1446_CR12","doi-asserted-by":"publisher","first-page":"1161","DOI":"10.1111\/biom.12700","volume":"73","author":"F Gao","year":"2017","unstructured":"Gao F, Zeng D, Lin DY (2017) Semiparametric estimation of the accelerated failure time model with partly interval-censored data. Biometrics 73(4):1161\u20131168","journal-title":"Biometrics"},{"issue":"2","key":"1446_CR13","first-page":"501","volume":"9","author":"J Huang","year":"1999","unstructured":"Huang J (1999) Asymptotic properties of nonparametric estimation based on partly interval-censored data. Statistica Sinica 9(2):501\u2013519","journal-title":"Statistica Sinica"},{"issue":"2","key":"1446_CR14","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1093\/biomet\/90.2.341","volume":"90","author":"Z Jin","year":"2003","unstructured":"Jin Z, Lin D, Wei L, Ying Z (2003) Rank-based inference for the accelerated failure time model. Biometrika 90(2):341\u2013353","journal-title":"Biometrika"},{"issue":"1","key":"1446_CR15","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1093\/biomet\/93.1.147","volume":"93","author":"Z Jin","year":"2006","unstructured":"Jin Z, Lin D, Ying Z (2006) On least-squares regression with censored data. Biometrika 93(1):147\u2013161","journal-title":"Biometrika"},{"key":"1446_CR16","doi-asserted-by":"publisher","first-page":"485","DOI":"10.1214\/08-EJS322","volume":"3","author":"BA Johnson","year":"2009","unstructured":"Johnson BA (2009) On lasso for censored data. Electron J Stat 3:485\u2013506","journal-title":"Electron J Stat"},{"issue":"482","key":"1446_CR17","doi-asserted-by":"publisher","first-page":"672","DOI":"10.1198\/016214508000000184","volume":"103","author":"BA Johnson","year":"2008","unstructured":"Johnson BA, Lin DY, Zeng D (2008) Penalized estimating functions and variable selection in semiparametric regression models. J Am Stat Assoc 103(482):672\u2013680","journal-title":"J Am Stat Assoc"},{"issue":"3","key":"1446_CR18","doi-asserted-by":"publisher","first-page":"685","DOI":"10.1080\/10618600.2020.1841650","volume":"30","author":"ES Kawaguchi","year":"2021","unstructured":"Kawaguchi ES, Shen JI, Suchard MA, Li G (2021) Scalable algorithms for large competing risks data. J Comput Graph Stat 30(3):685\u2013693","journal-title":"J Comput Graph Stat"},{"issue":"6","key":"1446_CR19","doi-asserted-by":"publisher","first-page":"675","DOI":"10.1002\/sim.8438","volume":"39","author":"ES Kawaguchi","year":"2020","unstructured":"Kawaguchi ES, Suchard MA, Liu Z, Li G (2020) A surrogate $${L}_0$$ sparse Cox\u2019s regression with applications to sparse high-dimensional massive sample size time-to-event data. Stat Med 39(6):675\u2013686","journal-title":"Stat Med"},{"issue":"2","key":"1446_CR20","doi-asserted-by":"publisher","first-page":"301","DOI":"10.2307\/2336144","volume":"74","author":"S Leurgans","year":"1987","unstructured":"Leurgans S (1987) Linear models, random censoring and synthetic data. Biometrika 74(2):301\u2013309","journal-title":"Biometrika"},{"issue":"1","key":"1446_CR21","first-page":"251","volume":"24","author":"Y Li","year":"2014","unstructured":"Li Y, Dicker L, Zhao S (2014) The Dantzig selector for censored linear regression models. Statistica Sinica 24(1):251\u2013268","journal-title":"Statistica Sinica"},{"issue":"6","key":"1446_CR22","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1177\/0962280219864710","volume":"29","author":"Y Liu","year":"2019","unstructured":"Liu Y, Chen X, Li G (2019) A new joint screening method for right-censored time-to-event data with ultra-high dimensional covariates. Stat Methods Med Res 29(6):1499\u20131513","journal-title":"Stat Methods Med Res"},{"issue":"2","key":"1446_CR23","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1016\/0022-247X(69)90031-6","volume":"28","author":"A Meir","year":"1969","unstructured":"Meir A, Keeler E (1969) A theorem on contraction mappings. J Math Anal Appl 28(2):326\u2013329","journal-title":"J Math Anal Appl"},{"issue":"6","key":"1446_CR24","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0038230","volume":"7","author":"RC Rippe","year":"2012","unstructured":"Rippe RC, Meulman JJ, Eilers PH (2012) Visualization of genomic changes by segmented smoothing using an l 0 penalty. PloS one 7(6):e38230","journal-title":"PloS one"},{"issue":"1","key":"1446_CR25","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1214\/aos\/1176347502","volume":"18","author":"Y Ritov","year":"1990","unstructured":"Ritov Y (1990) Estimation in a linear regression model with censored data. Ann Stat 18(1):303\u2013328","journal-title":"Ann Stat"},{"issue":"422","key":"1446_CR26","doi-asserted-by":"publisher","first-page":"486","DOI":"10.1080\/01621459.1993.10476299","volume":"88","author":"J Shao","year":"1993","unstructured":"Shao J (1993) Linear model selection by cross-validation. J Am Stat Assoc 88(422):486\u2013494","journal-title":"J Am Stat Assoc"},{"key":"1446_CR27","first-page":"1","volume":"51","author":"M Son","year":"2021","unstructured":"Son M, Choi T, Shin SJ, Jung Y, Choi S (2021) Regularized linear censored quantile regression. J Korean Stat Soc 51:1\u201319","journal-title":"J Korean Stat Soc"},{"issue":"1","key":"1446_CR28","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1007\/s10463-021-00794-3","volume":"74","author":"Z Sun","year":"2022","unstructured":"Sun Z, Liu Y, Chen K, Li G (2022) Broken adaptive ridge regression for right-censored survival data. Ann Instit Stat Math 74(1):69\u201391","journal-title":"Ann Instit Stat Math"},{"key":"1446_CR29","doi-asserted-by":"crossref","unstructured":"Sun Z, Yu C, Li G, Chen K, Liu Y (2020) CenBAR: Broken Adaptive Ridge AFT Model with Censored Data. https:\/\/cran.r-project.org\/web\/packages\/CenBAR\/index.html, r package version 0.1.1","DOI":"10.32614\/CRAN.package.CenBAR"},{"issue":"1","key":"1446_CR30","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1111\/j.2517-6161.1996.tb02080.x","volume":"58","author":"R Tibshirani","year":"1996","unstructured":"Tibshirani R (1996) Regression shrinkage and selection via the lasso. J Royal Stat Soc Series B (Methodological) 58(1):267\u2013288","journal-title":"J Royal Stat Soc Series B (Methodological)"},{"issue":"3","key":"1446_CR31","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1111\/j.2517-6161.1976.tb01597.x","volume":"38","author":"BW Turnbull","year":"1976","unstructured":"Turnbull BW (1976) The empirical distribution function with arbitrarily grouped, censored and truncated data. J Royal Stat Soc Ser B 38(3):290\u2013295","journal-title":"J Royal Stat Soc Ser B"},{"issue":"1","key":"1446_CR32","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1111\/j.1541-0420.2007.00877.x","volume":"64","author":"S Wang","year":"2008","unstructured":"Wang S, Nan B, Zhu J, Beer DG (2008) Doubly penalized Buckley-James method for survival data with high-dimensional covariates. Biometrics 64(1):132\u2013140","journal-title":"Biometrics"},{"issue":"2","key":"1446_CR33","doi-asserted-by":"publisher","first-page":"165","DOI":"10.1007\/s11222-009-9126-y","volume":"20","author":"J Xu","year":"2010","unstructured":"Xu J, Leng C, Ying Z (2010) Rank-based variable selection with censored data. Stat Comput 20(2):165\u2013176","journal-title":"Stat Comput"},{"issue":"4","key":"1446_CR34","first-page":"507","volume":"69","author":"D Zeng","year":"2007","unstructured":"Zeng D, Lin D (2007) Efficient estimation for the accelerated failure time model. J Am Stat Assoc 69(4):507\u2013564","journal-title":"J Am Stat Assoc"},{"issue":"3","key":"1446_CR35","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1002\/cjs.11459","volume":"46","author":"H Zhao","year":"2018","unstructured":"Zhao H, Sun D, Li G, Sun J (2018) Variable selection for recurrent event data with broken adaptive ridge regression. Can J Stat 46(3):416\u2013428","journal-title":"Can J Stat"},{"issue":"529","key":"1446_CR36","doi-asserted-by":"publisher","first-page":"204","DOI":"10.1080\/01621459.2018.1537922","volume":"115","author":"H Zhao","year":"2020","unstructured":"Zhao H, Wu Q, Li G, Sun J (2020) Simultaneous estimation and variable selection for interval-censored data with broken adaptive ridge regression. J Am Stat Assoc 115(529):204\u2013216","journal-title":"J Am Stat Assoc"},{"issue":"476","key":"1446_CR37","doi-asserted-by":"publisher","first-page":"1418","DOI":"10.1198\/016214506000000735","volume":"101","author":"H Zou","year":"2006","unstructured":"Zou H (2006) The adaptive lasso and its oracle properties. J Am Stat Assoc 101(476):1418\u20131429","journal-title":"J Am Stat Assoc"}],"container-title":["Computational Statistics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-023-01446-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00180-023-01446-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-023-01446-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T08:17:02Z","timestamp":1726215422000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00180-023-01446-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,17]]},"references-count":37,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,9]]}},"alternative-id":["1446"],"URL":"https:\/\/doi.org\/10.1007\/s00180-023-01446-1","relation":{},"ISSN":["0943-4062","1613-9658"],"issn-type":[{"value":"0943-4062","type":"print"},{"value":"1613-9658","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,17]]},"assertion":[{"value":"11 March 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 December 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"We declare that we have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}