{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T09:15:58Z","timestamp":1726218958621},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["2017R1C1B1004817","2019R1F1A1052239"],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002642","name":"Korea University","doi-asserted-by":"publisher","award":["2020R1F1A1A01069632","K2018721"],"id":[{"id":"10.13039\/501100002642","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computational Statistics & Data Analysis"],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1016\/j.csda.2021.107306","type":"journal-article","created":{"date-parts":[[2021,6,24]],"date-time":"2021-06-24T12:37:47Z","timestamp":1624538267000},"page":"107306","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":5,"special_numbering":"C","title":["Semiparametric least-squares regression with doubly-censored data"],"prefix":"10.1016","volume":"164","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-7750-9276","authenticated-orcid":false,"given":"Taehwa","family":"Choi","sequence":"first","affiliation":[]},{"given":"Arlene K.H.","family":"Kim","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-6983-5821","authenticated-orcid":false,"given":"Sangbum","family":"Choi","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"12","key":"10.1016\/j.csda.2021.107306_br0010","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v081.i12","article-title":"icenReg: Regression models for interval censored data in R","volume":"81","author":"Anderson-Bergman","year":"2017","journal-title":"Journal of Statistical Software"},{"issue":"3","key":"10.1016\/j.csda.2021.107306_br0020","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1093\/biomet\/66.3.429","article-title":"Linear regression with censored data","volume":"66","author":"Buckley","year":"1979","journal-title":"Biometrika"},{"issue":"2","key":"10.1016\/j.csda.2021.107306_br0030","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1093\/biomet\/91.2.277","article-title":"Semiparametric regression analysis for doubly censored data","volume":"91","author":"Cai","year":"2004","journal-title":"Biometrika"},{"issue":"1","key":"10.1016\/j.csda.2021.107306_br0040","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1214\/aos\/1176347506","article-title":"Weak convergence of a self-consistent estimator of the survival function with doubly censored data","volume":"18","author":"Chang","year":"1990","journal-title":"The Annals of Statistics"},{"key":"10.1016\/j.csda.2021.107306_br0050","first-page":"1","article-title":"Efficient inferences for linear transformation models with doubly censored data","author":"Choi","year":"2020","journal-title":"Communications in Statistics-Theory and Methods"},{"key":"10.1016\/j.csda.2021.107306_br0060","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1111\/biom.12700","article-title":"Semiparametric estimation of the accelerated failure time model with partly interval-censored data","volume":"73","author":"Gao","year":"2017","journal-title":"Biometrics"},{"key":"10.1016\/j.csda.2021.107306_br0070","doi-asserted-by":"crossref","first-page":"650","DOI":"10.1093\/biomet\/52.3-4.650","article-title":"A generalized two-sample Wilcoxon test for doubly censored data","volume":"52","author":"Gehan","year":"1965","journal-title":"Biometrika"},{"key":"10.1016\/j.csda.2021.107306_br0080","series-title":"Information Bounds and Nonparametric Maximum Likelihood Estimation","volume":"vol. 19","author":"Groeneboom","year":"1992"},{"key":"10.1016\/j.csda.2021.107306_br0090","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1214\/aos\/1176349140","article-title":"Asymptotic properties of self-consistent estimators based on doubly censored data","volume":"21","author":"Gu","year":"1993","journal-title":"The Annals of Statistics"},{"issue":"2","key":"10.1016\/j.csda.2021.107306_br0100","doi-asserted-by":"crossref","first-page":"540","DOI":"10.1214\/aos\/1032894452","article-title":"Efficient estimation for the proportional hazards model with interval censoring","volume":"24","author":"Huang","year":"1996","journal-title":"The Annals of Statistics"},{"key":"10.1016\/j.csda.2021.107306_br0110","first-page":"501","article-title":"Asymptotic properties of nonparametric estimation based on partly interval-censored data","volume":"9","author":"Huang","year":"1999","journal-title":"Statistica Sinica"},{"key":"10.1016\/j.csda.2021.107306_br0120","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1111\/j.0006-341X.1999.00625.x","article-title":"Mixed effects models with censored data with application to HIV RNA levels","volume":"55","author":"Hughes","year":"1999","journal-title":"Biometrics"},{"key":"10.1016\/j.csda.2021.107306_br0130","doi-asserted-by":"crossref","first-page":"3171","DOI":"10.1002\/1097-0258(20001215)19:23<3171::AID-SIM619>3.0.CO;2-T","article-title":"Analysis and design issues for studies using censored biomarker measurements with an example of viral load measurements in HIV clinical trials","volume":"19","author":"Hughes","year":"2000","journal-title":"Statistics in Medicine"},{"issue":"4","key":"10.1016\/j.csda.2021.107306_br0140","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1093\/biostatistics\/1.4.355","article-title":"Analysis of left-censored longitudinal data with application to viral load in HIV infection","volume":"1","author":"Jacqmin-Gadda","year":"2000","journal-title":"Biostatistics"},{"issue":"1","key":"10.1016\/j.csda.2021.107306_br0150","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1111\/j.1541-0420.2011.01667.x","article-title":"Quantile regression for doubly censored data","volume":"68","author":"Ji","year":"2012","journal-title":"Biometrics"},{"issue":"2","key":"10.1016\/j.csda.2021.107306_br0160","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1093\/biomet\/90.2.341","article-title":"Rank-based inference for the accelerated failure time model","volume":"90","author":"Jin","year":"2003","journal-title":"Biometrika"},{"issue":"1","key":"10.1016\/j.csda.2021.107306_br0170","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1093\/biomet\/93.1.147","article-title":"On least-squares regression with censored data","volume":"93","author":"Jin","year":"2006","journal-title":"Biometrika"},{"issue":"2","key":"10.1016\/j.csda.2021.107306_br0180","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.jeconom.2009.01.006","article-title":"Inference on endogenously censored regression models using conditional moment inequalities","volume":"152","author":"Khan","year":"2009","journal-title":"Journal of Econometrics"},{"issue":"6","key":"10.1016\/j.csda.2021.107306_br0190","doi-asserted-by":"crossref","first-page":"1339","DOI":"10.1016\/j.jmva.2010.01.010","article-title":"Asymptotic properties of the maximum likelihood estimator for the proportional hazards model with doubly censored data","volume":"101","author":"Kim","year":"2010","journal-title":"Journal of Multivariate Analysis"},{"issue":"1","key":"10.1016\/j.csda.2021.107306_br0200","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.csda.2012.06.001","article-title":"An EM algorithm for the proportional hazards model with doubly censored data","volume":"57","author":"Kim","year":"2013","journal-title":"Computational Statistics & Data Analysis"},{"key":"10.1016\/j.csda.2021.107306_br0210","first-page":"417","article-title":"Estimating a distribution function with truncated and censored data","author":"Lai","year":"1991","journal-title":"The Annals of Statistics"},{"issue":"5","key":"10.1016\/j.csda.2021.107306_br0220","doi-asserted-by":"crossref","first-page":"502","DOI":"10.1177\/1471082X19859949","article-title":"Semiparametric regression analysis of multivariate doubly censored data","volume":"20","author":"Li","year":"2020","journal-title":"Statistical Modelling"},{"issue":"3","key":"10.1016\/j.csda.2021.107306_br0230","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1111\/sjos.12319","article-title":"A class of semiparametric transformation models for doubly censored failure time data","volume":"45","author":"Li","year":"2018","journal-title":"Scandinavian Journal of Statistics"},{"year":"2002","series-title":"Statistical Analysis with Missing Data","author":"Little","key":"10.1016\/j.csda.2021.107306_br0240"},{"issue":"6","key":"10.1016\/j.csda.2021.107306_br0250","doi-asserted-by":"crossref","first-page":"2638","DOI":"10.1214\/aos\/1030741089","article-title":"Regression M-estimators with doubly censored data","volume":"25","author":"Ren","year":"1997","journal-title":"The Annals of Statistics"},{"issue":"5","key":"10.1016\/j.csda.2021.107306_br0260","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1093\/ije\/29.5.803","article-title":"A study on effectiveness of screening mammograms","volume":"29","author":"Ren","year":"2000","journal-title":"International Journal of Epidemiology"},{"issue":"6","key":"10.1016\/j.csda.2021.107306_br0270","doi-asserted-by":"crossref","first-page":"1328","DOI":"10.1080\/02331888.2018.1510933","article-title":"Aalen's linear model for doubly censored data","volume":"52","author":"Shen","year":"2018","journal-title":"Statistics"},{"issue":"3","key":"10.1016\/j.csda.2021.107306_br0280","doi-asserted-by":"crossref","first-page":"1298","DOI":"10.1214\/15-AOS1406","article-title":"Semiparametric efficient estimation for shared-frailty models with doubly-censored clustered data","volume":"44","author":"Su","year":"2016","journal-title":"The Annals of Statistics"},{"issue":"2","key":"10.1016\/j.csda.2021.107306_br0290","doi-asserted-by":"crossref","first-page":"517","DOI":"10.1128\/JCM.02461-13","article-title":"Comparative performances of hiv-1 rna load assays at low viral load levels: results of an international collaboration","volume":"52","author":"Swenson","year":"2014","journal-title":"Journal of Clinical Microbiology"},{"issue":"2","key":"10.1016\/j.csda.2021.107306_br0300","doi-asserted-by":"crossref","first-page":"329","DOI":"10.1093\/biomet\/93.2.329","article-title":"On the accelerated failure time model for current status and interval censored data","volume":"93","author":"Tian","year":"2006","journal-title":"Biometrika"},{"issue":"1","key":"10.1016\/j.csda.2021.107306_br0310","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1214\/aos\/1176347504","article-title":"Estimating regression parameters using linear rank tests for censored data","volume":"18","author":"Tsiatis","year":"1990","journal-title":"The Annals of Statistics"},{"issue":"345","key":"10.1016\/j.csda.2021.107306_br0320","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1080\/01621459.1974.10480146","article-title":"Nonparametric estimation of a survivorship function with doubly censored data","volume":"69","author":"Turnbull","year":"1974","journal-title":"Journal of the American Statistical Association"},{"issue":"3","key":"10.1016\/j.csda.2021.107306_br0330","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1111\/j.2517-6161.1976.tb01597.x","article-title":"The empirical distribution function with arbitrarily grouped, censored and truncated data","volume":"38","author":"Turnbull","year":"1976","journal-title":"Journal of the Royal Statistical Society: Series B"},{"issue":"4","key":"10.1016\/j.csda.2021.107306_br0340","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1093\/biomet\/77.4.845","article-title":"Linear regression analysis of censored survival data based on rank tests","volume":"77","author":"Wei","year":"1990","journal-title":"Biometrika"},{"issue":"439","key":"10.1016\/j.csda.2021.107306_br0350","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1080\/01621459.1997.10474049","article-title":"A hybrid algorithm for computation of the nonparametric maximum likelihood estimator from censored data","volume":"92","author":"Wellner","year":"1997","journal-title":"Journal of the American Statistical Association"},{"issue":"2","key":"10.1016\/j.csda.2021.107306_br0360","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1093\/biomet\/asw013","article-title":"Maximum likelihood estimation for semiparametric transformation models with interval-censored data","volume":"103","author":"Zeng","year":"2016","journal-title":"Biometrika"},{"issue":"6","key":"10.1016\/j.csda.2021.107306_br0370","doi-asserted-by":"crossref","first-page":"2720","DOI":"10.1214\/aos\/1032181177","article-title":"Linear regression with doubly censored data","volume":"24","author":"Zhang","year":"1996","journal-title":"The Annals of Statistics"}],"container-title":["Computational Statistics & Data Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947321001407?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167947321001407?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T15:19:28Z","timestamp":1725290368000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167947321001407"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":37,"alternative-id":["S0167947321001407"],"URL":"https:\/\/doi.org\/10.1016\/j.csda.2021.107306","relation":{},"ISSN":["0167-9473"],"issn-type":[{"type":"print","value":"0167-9473"}],"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Semiparametric least-squares regression with doubly-censored data","name":"articletitle","label":"Article Title"},{"value":"Computational Statistics & Data Analysis","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.csda.2021.107306","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2021 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107306"}}