{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T13:11:35Z","timestamp":1706793095873},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T00:00:00Z","timestamp":1581465600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T00:00:00Z","timestamp":1581465600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Natural Science Foundation of Shandong Province, China","award":["ZR2017QA011"],"award-info":[{"award-number":["ZR2017QA011"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comput Stat"],"published-print":{"date-parts":[[2020,12]]},"DOI":"10.1007\/s00180-020-00964-6","type":"journal-article","created":{"date-parts":[[2020,2,12]],"date-time":"2020-02-12T04:48:01Z","timestamp":1581482881000},"page":"1621-1636","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["An improvement on the efficiency of complete-case-analysis with nonignorable missing covariate data"],"prefix":"10.1007","volume":"35","author":[{"given":"Jing","family":"Sun","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,2,12]]},"reference":[{"issue":"4","key":"964_CR1","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1093\/biostatistics\/kxu023","volume":"15","author":"JW Bartlett","year":"2014","unstructured":"Bartlett JW, Carpente JR, Tilling K, Vansteelandt S (2014) Improving upon the efficiency of complete case analysis when covariates are MNAR. Biostatistics 15(4):719\u2013730","journal-title":"Biostatistics"},{"key":"964_CR2","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1016\/j.jspi.2018.09.003","volume":"200","author":"D Bloznelis","year":"2019","unstructured":"Bloznelis D, Claeskens G, Zhou J (2019) Composite versus model-averaged quantile regression. J Stat Plan Inference 200:32\u201346","journal-title":"J Stat Plan Inference"},{"issue":"3","key":"964_CR3","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1111\/j.1467-9868.2010.00764.x","volume":"73","author":"J Bradic","year":"2011","unstructured":"Bradic J, Fan JQ, Wang WW (2011) Penalized composite quasi-likelihood for ultrahigh dimensional variable selection. J R Stat Soc Ser B 73(3):325\u2013349","journal-title":"J R Stat Soc Ser B"},{"issue":"4","key":"964_CR4","first-page":"1479","volume":"22","author":"XJ Jiang","year":"2012","unstructured":"Jiang XJ, Jiang JC, Song XY (2012) Oracle model selection for nonlinear models based on weighted composite quantile regression. Stat Sin 22(4):1479\u20131506","journal-title":"Stat Sin"},{"key":"964_CR5","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511754098","volume-title":"Quantile regression","author":"R Koenker","year":"2005","unstructured":"Koenker R (2005) Quantile regression. Cambridge University Press, New York"},{"key":"964_CR6","doi-asserted-by":"publisher","DOI":"10.1002\/9781119013563","volume-title":"Statistical analysis with missing data","author":"RJ Little","year":"2002","unstructured":"Little RJ, Rubin DB (2002) Statistical analysis with missing data, 2nd edn. Wiley, Hoboken","edition":"2"},{"issue":"4","key":"964_CR7","doi-asserted-by":"publisher","first-page":"591","DOI":"10.1111\/j.1467-9876.2011.00763.x","volume":"60","author":"RJ Little","year":"2011","unstructured":"Little RJ, Zhang N (2011) Subsample ignorable likelihood for regression analysis with missing data. J R Stat Soc Ser C 60(4):591\u2013605","journal-title":"J R Stat Soc Ser C"},{"issue":"1","key":"964_CR8","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1080\/02331888.2015.1033164","volume":"50","author":"TQ Liu","year":"2016","unstructured":"Liu TQ, Yuan XH (2016) Weighted quantile regression with missing covariates using empirical likelihood. Statistics 50(1):89\u2013113","journal-title":"Statistics"},{"issue":"3","key":"964_CR9","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1111\/j.1467-9469.2009.00640.x","volume":"36","author":"EM Molanes Lopez","year":"2009","unstructured":"Molanes Lopez EM, Van Keilegom I, Veraverbeke N (2009) Empirical likelihood for non-smooth criterion functions. Scand J Stat 36(3):413\u2013432","journal-title":"Scand J Stat"},{"key":"964_CR10","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.spl.2014.08.003","volume":"95","author":"ZJ Ning","year":"2014","unstructured":"Ning ZJ, Tang LJ (2014) Estimation and test procedures for composite quantile regression with covariates missing at random. Stat Probab Lett 95:15\u201325","journal-title":"Stat Probab Lett"},{"issue":"1","key":"964_CR11","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1214\/aos\/1176347494","volume":"18","author":"AB Owen","year":"1990","unstructured":"Owen AB (1990) Empirical likelihood ratio confidence regions. Ann Stat 18(1):90\u2013120","journal-title":"Ann Stat"},{"issue":"2","key":"964_CR12","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1017\/S0266466600004394","volume":"7","author":"D Pollard","year":"1991","unstructured":"Pollard D (1991) Asymptotics for least absolute deviation regression estimators. Econ Theory 7(2):186\u2013199","journal-title":"Econ Theory"},{"issue":"1","key":"964_CR13","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1214\/aos\/1176325370","volume":"22","author":"J Qin","year":"1994","unstructured":"Qin J, Lawless J (1994) Empirical likelihood and general estimating equations. Ann Stat 22(1):300\u2013325","journal-title":"Ann Stat"},{"key":"964_CR14","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/j.jmva.2016.08.009","volume":"152","author":"B Sherwood","year":"2016","unstructured":"Sherwood B (2016) Variable selection for additive partial linear quantile regression with missing covariates. J Multivar Anal 152:206\u2013223","journal-title":"J Multivar Anal"},{"issue":"1","key":"964_CR15","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1080\/10485252.2016.1272692","volume":"29","author":"J Sun","year":"2017","unstructured":"Sun J, Ma YY (2017) Empirical likelihood weighted composite quantile regression with partially missing covariates. J Nonparametr Stat 29(1):137\u2013150","journal-title":"J Nonparametr Stat"},{"key":"964_CR16","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1016\/j.spl.2015.09.009","volume":"107","author":"J Sun","year":"2015","unstructured":"Sun J, Sun QH (2015) An improved and efficient estimation method for varying-coefficient model with missing covariates. Stat Probab Lett 107:296\u2013303","journal-title":"Stat Probab Lett"},{"key":"964_CR17","doi-asserted-by":"publisher","first-page":"1049","DOI":"10.1016\/j.jspi.2013.01.002","volume":"143","author":"J Sun","year":"2013","unstructured":"Sun J, Gai YJ, Lin L (2013) Weighted local linear composite quantile estimation for the case of general error distributions. J Stat Plan Inference 143:1049\u20131063","journal-title":"J Stat Plan Inference"},{"key":"964_CR18","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1016\/j.jmva.2019.05.006","volume":"173","author":"NS Tang","year":"2019","unstructured":"Tang NS, Wang XJ (2019) Robust estimation of generalized estimating equations with finite mixture correlation matrices and missing covariates at random for longitudinal data. J Multivar Anal 173:640\u2013655","journal-title":"J Multivar Anal"},{"issue":"3","key":"964_CR19","doi-asserted-by":"publisher","first-page":"583","DOI":"10.1007\/s11749-014-0425-z","volume":"24","author":"LJ Tang","year":"2015","unstructured":"Tang LJ, Zhou ZG (2015) Weighted local linear CQR for varying-coefficient models with missing covariates. TEST 24(3):583\u2013604","journal-title":"TEST"},{"key":"964_CR20","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.jkss.2017.09.005","volume":"47","author":"LJ Tang","year":"2018","unstructured":"Tang LJ, Zheng SC, Zhou ZG (2018) Estimation and inference of combining quantile and least-square regressions with missing data. J Korean Stat Soc 47:77\u201389","journal-title":"J Korean Stat Soc"},{"issue":"6","key":"964_CR21","doi-asserted-by":"publisher","first-page":"1803","DOI":"10.1007\/s00362-017-0896-6","volume":"60","author":"T Yoshida","year":"2017","unstructured":"Yoshida T (2017) Two stage smoothing in additive models with missing covariates. Stat Pap 60(6):1803\u20131826","journal-title":"Stat Pap"},{"issue":"6","key":"964_CR22","doi-asserted-by":"publisher","first-page":"1272","DOI":"10.1017\/S0266466614000176","volume":"30","author":"ZB Zhao","year":"2014","unstructured":"Zhao ZB, Xiao ZJ (2014) Efficient regressions via optimally combining quantile information. Econ Theory 30(6):1272\u20131314","journal-title":"Econ Theory"},{"issue":"3","key":"964_CR23","doi-asserted-by":"publisher","first-page":"1108","DOI":"10.1214\/07-AOS507","volume":"36","author":"H Zou","year":"2008","unstructured":"Zou H, Yuan M (2008) Composite quantile regression and the oracle model selection theory. Ann Stat 36(3):1108\u20131126","journal-title":"Ann Stat"}],"container-title":["Computational Statistics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-020-00964-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00180-020-00964-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00180-020-00964-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,11]],"date-time":"2021-02-11T13:06:53Z","timestamp":1613048813000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00180-020-00964-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,12]]},"references-count":23,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,12]]}},"alternative-id":["964"],"URL":"https:\/\/doi.org\/10.1007\/s00180-020-00964-6","relation":{},"ISSN":["0943-4062","1613-9658"],"issn-type":[{"value":"0943-4062","type":"print"},{"value":"1613-9658","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2,12]]},"assertion":[{"value":"24 January 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 February 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}