{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T00:19:19Z","timestamp":1770423559491,"version":"3.49.0"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:00:00Z","timestamp":1720051200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T00:00:00Z","timestamp":1720051200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Syst Sci Complex"],"published-print":{"date-parts":[[2024,12]]},"DOI":"10.1007\/s11424-024-3549-6","type":"journal-article","created":{"date-parts":[[2024,7,4]],"date-time":"2024-07-04T07:01:54Z","timestamp":1720076514000},"page":"2721-2737","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Simulation-Extrapolation Approach to the Analysis of Interval-Censored Failure Time Data with Mis-Measured Covariates"],"prefix":"10.1007","volume":"37","author":[{"given":"Fan","family":"Feng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shishun","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuwei","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianguo","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,7,4]]},"reference":[{"key":"3549_CR1","volume-title":"The Statistical Analysis of Interval-Censored Failure Time Data","author":"J Sun","year":"2006","unstructured":"Sun J, The Statistical Analysis of Interval-Censored Failure Time Data, Springer, New York, 2006."},{"issue":"518","key":"3549_CR2","doi-asserted-by":"publisher","first-page":"664","DOI":"10.1080\/01621459.2016.1158113","volume":"112","author":"Q Zhou","year":"2017","unstructured":"Zhou Q, Hu T, and Sun J, A sieve semiparametric maximum likelihood approach for regression analysis of bivariate interval-censored failure time data, Journal of the American Statistical Association, 2017, 112(518): 664\u2013672.","journal-title":"Journal of the American Statistical Association"},{"issue":"487","key":"3549_CR3","doi-asserted-by":"publisher","first-page":"1168","DOI":"10.1198\/jasa.2009.tm07494","volume":"104","author":"H Liu","year":"2009","unstructured":"Liu H and Shen Y, A semiparametric regression cure model for interval-censored data, Journal of the American Statistical Association, 2009, 104(487): 1168\u20131178.","journal-title":"Journal of the American Statistical Association"},{"issue":"439","key":"3549_CR4","doi-asserted-by":"publisher","first-page":"960","DOI":"10.1080\/01621459.1997.10474050","volume":"92","author":"J Huang","year":"1997","unstructured":"Huang J and Rossini A J, Sieve estimation for the proportional-odds failure-time regression model with interval censoring, Journal of the American Statistical Association, 1997, 92(439): 960\u2013967.","journal-title":"Journal of the American Statistical Association"},{"issue":"4","key":"3549_CR5","first-page":"1709","volume":"20","author":"L Wang","year":"2010","unstructured":"Wang L, Sun J, and Tong X, Regression analysis of case II interval-censored failure time data with the additive hazards model, Statistica Sinica, 2010, 20(4): 1709\u20131723.","journal-title":"Statistica Sinica"},{"issue":"2","key":"3549_CR6","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1111\/j.1467-9469.2009.00680.x","volume":"37","author":"Y Zhang","year":"2010","unstructured":"Zhang Y, Hua L, and Huang J, A spline-based semiparametric maximum likelihood estimation method for the Cox model with interval-censored data, Scandinavian Journal of Statistics, 2010, 37(2): 338\u2013354.","journal-title":"Scandinavian Journal of Statistics"},{"issue":"25","key":"3549_CR7","doi-asserted-by":"publisher","first-page":"4452","DOI":"10.1002\/sim.5863","volume":"32","author":"C S McMahan","year":"2013","unstructured":"McMahan C S, Wang L M, and Tebbs J M, Regression analysis for current status data using the EM algorithm, Statistics in Medicine, 2013, 32(25): 4452\u20134466.","journal-title":"Statistics in Medicine"},{"issue":"1","key":"3549_CR8","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1111\/biom.12389","volume":"72","author":"L Wang","year":"2016","unstructured":"Wang L, McMahan C S, Hudgens M G, et al., A flexible, computationally efficient method for fitting the proportional hazards model to interval-censored data, Biometrics, 2016, 72(1): 222\u2013231.","journal-title":"Biometrics"},{"issue":"2","key":"3549_CR9","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1093\/biomet\/asw013","volume":"103","author":"D Zeng","year":"2016","unstructured":"Zeng D, Mao L, and Lin D Y, Maximum likelihood estimation for semiparametric transformation models with interval-censored data, Biometrika, 2016, 103(2): 253\u2013271.","journal-title":"Biometrika"},{"issue":"4","key":"3549_CR10","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.2307\/2533667","volume":"54","author":"P Hu","year":"1998","unstructured":"Hu P, Tsiatis A A, and Davidian M, Estimating the parameters in the Cox model when covariate variables are measured with error, Biometrics, 1998, 54(4): 1407\u20131419.","journal-title":"Biometrics"},{"issue":"2","key":"3549_CR11","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1093\/biomet\/88.2.447","volume":"88","author":"A A Tsiatis","year":"2001","unstructured":"Tsiatis A A and Davidian M, A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error, Biometrika, 2001, 88(2): 447\u2013458.","journal-title":"Biometrika"},{"issue":"3","key":"3549_CR12","doi-asserted-by":"publisher","first-page":"702","DOI":"10.1111\/j.1541-0420.2005.00349.x","volume":"61","author":"X Song","year":"2005","unstructured":"Song X and Huang Y, On corrected score approach for proportional hazards model with covariate measurement error, Biometrics, 2005, 61(3): 702\u2013714.","journal-title":"Biometrics"},{"issue":"1","key":"3549_CR13","first-page":"31","volume":"104","author":"A Bertrand","year":"2017","unstructured":"Bertrand A, Legrand C, Carroll R J, et al., Inference in a survival cure model with mismeasured covariates using a simulation-extrapolation approach, Biometrika, 2017, 104(1): 31\u201350.","journal-title":"Biometrika"},{"issue":"16","key":"3549_CR14","doi-asserted-by":"publisher","first-page":"3178","DOI":"10.1002\/sim.3156","volume":"27","author":"X Song","year":"2008","unstructured":"Song X and Ma S, Multiple augmentation for interval-censored data with measurement error, Statistics in Medicine, 2008, 27(16): 3178\u20133190.","journal-title":"Statistics in Medicine"},{"issue":"23","key":"3549_CR15","doi-asserted-by":"publisher","first-page":"4642","DOI":"10.1002\/sim.8323","volume":"38","author":"S Mandal","year":"2019","unstructured":"Mandal S, Wang S, and Sinha S, Analysis of linear transformation models with covariate measurement error and interval censoring, Statistics in Medicine, 2019, 38(23): 4642\u20134655.","journal-title":"Statistics in Medicine"},{"issue":"3","key":"3549_CR16","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/s10985-012-9220-x","volume":"18","author":"C C Wen","year":"2012","unstructured":"Wen C C, Cox regression for mixed case interval-censored data with covariate errors, Lifetime Data Analysis, 2012, 18(3): 321\u2013338.","journal-title":"Lifetime Data Analysis"},{"issue":"4","key":"3549_CR17","doi-asserted-by":"publisher","first-page":"635","DOI":"10.1111\/j.1467-9469.2011.00771.x","volume":"39","author":"C C Wen","year":"2012","unstructured":"Wen C C and Chen Y H, Conditional score approach to errors-in-variable current status data under the proportional odds model, Scandinavian Journal of Statistics, 2012, 39(4): 635\u2013644.","journal-title":"Scandinavian Journal of Statistics"},{"issue":"3","key":"3549_CR18","first-page":"1301","volume":"24","author":"C C Wen","year":"2014","unstructured":"Wen C C and Chen Y H, Functional inference for interval-censored data in proportional odds model with covariate measurement error, Statistica Sinica, 2014, 24(3): 1301\u20131317.","journal-title":"Statistica Sinica"},{"key":"3549_CR19","doi-asserted-by":"publisher","DOI":"10.1201\/9781420010138","volume-title":"Measurement Error in Nonlinear Models: A Modern Perspective","author":"R J Carroll","year":"2006","unstructured":"Carroll R J, Ruppert D, Stefanski L A, et al., Measurement Error in Nonlinear Models: A Modern Perspective, 2nd Edition, Chapman & Hall\/CRC Press, Boca Raton, 2006.","edition":"2nd Edition"},{"issue":"428","key":"3549_CR20","doi-asserted-by":"publisher","first-page":"1314","DOI":"10.1080\/01621459.1994.10476871","volume":"89","author":"J R Cook","year":"1994","unstructured":"Cook J R and Stefanski L A, Simulation-extrapolation in parametric measurement error models, Journal of the American Statistical Association, 1994, 89(428): 1314\u20131328.","journal-title":"Journal of the American Statistical Association"},{"issue":"CS1","key":"3549_CR21","first-page":"1","volume":"46","author":"W He","year":"2012","unstructured":"He W, Xiong J, and Yi G Y, SIMEX R package for accelerated failure time model with cobariate measurement error, Journal of Statistical Software, 2012, 46(CS1): 1\u201314.","journal-title":"Journal of Statistical Software"},{"issue":"4","key":"3549_CR22","doi-asserted-by":"publisher","first-page":"1448","DOI":"10.1214\/009053604000000535","volume":"32","author":"M R Kosorok","year":"2004","unstructured":"Kosorok M R, Lee B L, and Fine J P, Robust inference for univariate proportional hazards frailty regression models, The Annals of Statistics, 2004, 32(4): 1448\u20131491.","journal-title":"The Annals of Statistics"},{"issue":"3","key":"3549_CR23","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1093\/biomet\/asx029","volume":"104","author":"D Zeng","year":"2017","unstructured":"Zeng D, Gao F, and Lin D Y, Maximum likelihood estimation for semiparametric regression models with multivariate interval-censored data, Biometrika, 2017, 104(3): 505\u2013525.","journal-title":"Biometrika"},{"issue":"3","key":"3549_CR24","first-page":"141","volume":"23","author":"J Conkin","year":"1996","unstructured":"Conkin J, Foster P P, Powell M R, et al., Relationship of the time course of venous gas bubbles to altitude decompression illness, Undersea & Hyperbaric Medicine, 1996, 23(3): 141\u2013149.","journal-title":"Undersea & Hyperbaric Medicine"},{"issue":"28","key":"3549_CR25","doi-asserted-by":"publisher","first-page":"6309","DOI":"10.1002\/sim.9184","volume":"40","author":"S Li","year":"2021","unstructured":"Li S, Tian T, Hu T, et al., A simulation-extrapolation approach for regression analysis of misclassified current status data with the additive hazards model, Statistics in Medicine, 2021, 40(28): 6309\u20136320.","journal-title":"Statistics in Medicine"},{"issue":"3","key":"3549_CR26","doi-asserted-by":"publisher","first-page":"731","DOI":"10.1093\/biomet\/asv020","volume":"102","author":"L Ma","year":"2015","unstructured":"Ma L, Hu T, and Sun J, Sieve maximum likelihood regression analysis of dependent current status data, Biometrika, 2015, 102(3): 731\u2013738.","journal-title":"Biometrika"},{"key":"3549_CR27","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.csda.2016.12.011","volume":"110","author":"S Li","year":"2017","unstructured":"Li S, Hu T, Wang P, et al., Regression analysis of current status data in the presence of dependent censoring with applications to tumorigenicity experiments, Computational Statistics and Data Analysis, 2017, 110: 75\u201386.","journal-title":"Computational Statistics and Data Analysis"},{"issue":"4","key":"3549_CR28","doi-asserted-by":"publisher","first-page":"1520","DOI":"10.1007\/s11424-021-0209-y","volume":"35","author":"S Zhao","year":"2022","unstructured":"Zhao S, Dong L, and Sun J, Regression analysis of interval-censored data with informative observation times under the accelerated failure time model, Journal of Systems Science & Complexity, 2022, 35(4): 1520\u20131534.","journal-title":"Journal of Systems Science & Complexity"},{"key":"3549_CR29","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1016\/j.csda.2018.09.008","volume":"133","author":"S Li","year":"2019","unstructured":"Li S, Hu T, Zhao X, et al., A class of semiparametric transformation cure models for interval-censored failure time data, Computational Statistics and Data Analysis, 2019, 133: 153\u2013165.","journal-title":"Computational Statistics and Data Analysis"},{"issue":"1","key":"3549_CR30","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1080\/03610926.2018.1535075","volume":"49","author":"Y Liu","year":"2020","unstructured":"Liu Y, Hu T, and Sun J, Regression analysis of interval-censored failure time data with cured subgroup and mismeasured covariates, Communications in Statistics-Theory and Methods, 2020, 49(1): 189\u2013202.","journal-title":"Communications in Statistics-Theory and Methods"},{"issue":"461","key":"3549_CR31","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1198\/016214503388619210","volume":"98","author":"Y Li","year":"2003","unstructured":"Li Y and Lin X, Functional inference in frailty measurement error models for clustered survival data using the SIMEX approach, Journal of the American Statistical Association, 2003, 98(461): 191\u2013203.","journal-title":"Journal of the American Statistical Association"}],"container-title":["Journal of Systems Science and Complexity"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-024-3549-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11424-024-3549-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11424-024-3549-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T13:37:45Z","timestamp":1732023465000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11424-024-3549-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7,4]]},"references-count":31,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2024,12]]}},"alternative-id":["3549"],"URL":"https:\/\/doi.org\/10.1007\/s11424-024-3549-6","relation":{},"ISSN":["1009-6124","1559-7067"],"issn-type":[{"value":"1009-6124","type":"print"},{"value":"1559-7067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7,4]]},"assertion":[{"value":"15 December 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 February 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 July 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no conflict of interest.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}}]}}