{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T19:56:09Z","timestamp":1766087769030,"version":"3.38.0"},"reference-count":41,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T00:00:00Z","timestamp":1633651200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Stat Methods Med Res"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p> This paper focuses on comparing two means and finding a confidence interval for the difference of two means with right-censored data using the empirical likelihood method combined with the independent and identically distributed random functions representation. In the literature, some early researchers proposed empirical link-based confidence intervals for the mean difference based on right-censored data using the synthetic data approach. However, their empirical log-likelihood ratio statistic has a scaled chi-squared distribution. To avoid the estimation of the scale parameter in constructing confidence intervals, we propose an empirical likelihood method based on the independent and identically distributed representation of Kaplan\u2013Meier weights involved in the empirical likelihood ratio. We obtain the standard chi-squared distribution. We also apply the adjusted empirical likelihood to improve coverage accuracy for small samples. In addition, we investigate a new empirical likelihood method, the mean empirical likelihood, within the framework of our study. The performances of all the empirical likelihood methods are compared via extensive simulations. The proposed empirical likelihood-based confidence interval has better coverage accuracy than those from existing methods. Finally, our findings are illustrated with a real data set. <\/jats:p>","DOI":"10.1177\/09622802211041767","type":"journal-article","created":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T14:00:02Z","timestamp":1633701602000},"page":"87-104","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Novel empirical likelihood inference for the mean difference with right-censored data"],"prefix":"10.1177","volume":"31","author":[{"given":"Kangni","family":"Alemdjrodo","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5069-1968","authenticated-orcid":false,"given":"Yichuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2021,10,8]]},"reference":[{"key":"bibr1-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/75.2.237"},{"key":"bibr2-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176347494"},{"key":"bibr3-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1201\/9781420036152"},{"key":"bibr4-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1975.10480315"},{"key":"bibr5-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1007\/BF00773597"},{"key":"bibr6-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/0167-7152(94)00189-F"},{"key":"bibr7-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2007.09.006"},{"key":"bibr8-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/85.3.619"},{"key":"bibr9-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1080\/10485250008832814"},{"key":"bibr10-09622802211041767","doi-asserted-by":"publisher","DOI":"10.4310\/SII.2012.v5.n3.a7"},{"key":"bibr11-09622802211041767","doi-asserted-by":"publisher","DOI":"10.2307\/3316066"},{"key":"bibr12-09622802211041767","first-page":"83","volume":"13","author":"Zhou W","year":"2003","journal-title":"Stat Sin"},{"key":"bibr13-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2012.06.011"},{"key":"bibr14-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2012.10.010"},{"key":"bibr15-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1007\/s10463-016-0576-7"},{"key":"bibr16-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2017.10.007"},{"key":"bibr17-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1007\/s10463-017-0631-z"},{"key":"bibr18-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2019.04.007"},{"key":"bibr19-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1006\/jmva.2000.1974"},{"key":"bibr20-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1093\/biomet\/92.2.271"},{"key":"bibr21-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-7152(02)00309-7"},{"key":"bibr22-09622802211041767","volume":"1","author":"McKeague IW","year":"2005","journal-title":"Int J Biostat"},{"key":"bibr23-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2005.08.006"},{"key":"bibr24-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2010.11.021"},{"key":"bibr25-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.spl.2015.09.006"},{"key":"bibr26-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.2015.1024058"},{"key":"bibr27-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1032181175"},{"key":"bibr28-09622802211041767","unstructured":"Yang GL. The Kaplan\u2013Meier estimator. Encyclopedia of statistical sciences, Update Vol. 1. New York, NY: Wiley, 1997, pp.334\u2013343."},{"key":"bibr29-09622802211041767","doi-asserted-by":"publisher","DOI":"10.2307\/3318473"},{"key":"bibr30-09622802211041767","volume":"5","author":"Zheng M","year":"2012","journal-title":"Stat Interface"},{"key":"bibr31-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9469.2008.00634.x"},{"key":"bibr32-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1111\/sjos.12137"},{"key":"bibr33-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1080\/03610910701238301"},{"key":"bibr34-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2017.10.002"},{"key":"bibr35-09622802211041767","first-page":"23","volume":"13","author":"Qin Y","year":"2000","journal-title":"Syst Sci Math Sci"},{"key":"bibr36-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1198\/106186005X59270"},{"key":"bibr37-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1198\/106186008X321068"},{"key":"bibr38-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1214\/09-AOS750"},{"key":"bibr39-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1007\/s00362-013-0529-7"},{"volume-title":"Counting processes and survival analysis","year":"1991","author":"Fleming TR","key":"bibr40-09622802211041767"},{"key":"bibr41-09622802211041767","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176324528"}],"container-title":["Statistical Methods in Medical Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/09622802211041767","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/09622802211041767","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/09622802211041767","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T15:50:16Z","timestamp":1740844216000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/09622802211041767"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,8]]},"references-count":41,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["10.1177\/09622802211041767"],"URL":"https:\/\/doi.org\/10.1177\/09622802211041767","relation":{},"ISSN":["0962-2802","1477-0334"],"issn-type":[{"type":"print","value":"0962-2802"},{"type":"electronic","value":"1477-0334"}],"subject":[],"published":{"date-parts":[[2021,10,8]]}}}