{"title":"Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event","authors":"Wen Su, Li Liu, G. Yin, Xingqiu Zhao, Ying Zhang","doi":"10.5705/ss.202021.0353","DOIUrl":null,"url":null,"abstract":"Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event Wen Su1∗ , Li Liu2∗, Guosheng Yin, Xingqiu Zhao and Ying Zhang Department of Statistics and Actuarial Science, University of Hong Kong, Hong Kong School of Mathematics and Statistics, Wuhan University, Wuhan, China Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA","PeriodicalId":49478,"journal":{"name":"Statistica Sinica","volume":"1 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistica Sinica","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.5705/ss.202021.0353","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 0
Abstract
Semiparametric Reversed Mean Model for Recurrent Event Process with Informative Terminal Event Wen Su1∗ , Li Liu2∗, Guosheng Yin, Xingqiu Zhao and Ying Zhang Department of Statistics and Actuarial Science, University of Hong Kong, Hong Kong School of Mathematics and Statistics, Wuhan University, Wuhan, China Department of Applied Mathematics, The Hong Kong Polytechnic University, Hong Kong Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE, USA
期刊介绍：
Statistica Sinica aims to meet the needs of statisticians in a rapidly changing world. It provides a forum for the publication of innovative work of high quality in all areas of statistics, including theory, methodology and applications. The journal encourages the development and principled use of statistical methodology that is relevant for society, science and technology.
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