{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,23]],"date-time":"2026-06-23T10:49:09Z","timestamp":1782211749599,"version":"3.54.5"},"reference-count":31,"publisher":"Wiley","issue":"13-14","license":[{"start":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T00:00:00Z","timestamp":1780358400000},"content-version":"vor","delay-in-days":1,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2026,6]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Sepsis remains a critical challenge due to its high mortality and complex prognosis. To address data limitations in studying MSSA sepsis, we extend existing transfer learning frameworks to accommodate transformation models for high\u2010dimensional survival data. Specifically, we construct a measurement index based on the C\u2010index for intelligently identifying the helpful source datasets, and the target model performance is improved by leveraging information from the identified source datasets via performing the transfer step and debiasing step. Another significant development is that statistical properties are rigorously established, including \u2010estimation error bounds of the transfer learning algorithm and detection consistency property of the transferable source detection algorithm. Extensive simulations and analysis of MIMIC\u2010IV sepsis data demonstrate the estimation and prediction accuracy, and practical advantages of our approach, providing significant improvements in survival estimates for MSSA sepsis patients.<\/jats:p>","DOI":"10.1002\/sim.70629","type":"journal-article","created":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T12:27:13Z","timestamp":1780403233000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Rank\u2010Based Transfer Learning for High\u2010Dimensional Survival Data With Application to Sepsis Data"],"prefix":"10.1002","volume":"45","author":[{"given":"Nan","family":"Qiao","sequence":"first","affiliation":[{"name":"School of Mathematics, Statistics and Mechanics Beijing University of Technology  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haowei","family":"Jiang","sequence":"additional","affiliation":[{"name":"Renmin University of China  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5043-0680","authenticated-orcid":false,"given":"Cunjie","family":"Lin","sequence":"additional","affiliation":[{"name":"Renmin University of China  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,2]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000005337"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00134-020-06151-x"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1097\/CCM.0000000000003342"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13054-019-2528-0"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.3109\/10408363.2013.764490"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm6809e1"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1532-5415.2006.00698.x"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1046\/j.1365-2168.2001.01632.x"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1186\/s13756-019-0550-2"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-023-41215-8"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.083"},{"key":"e_1_2_11_13_1","doi-asserted-by":"crossref","unstructured":"Y.Pruksachatkun J.Phang H.Liu et al. \u201cIntermediate\u2010Task Transfer Learning With Pretrained Models for Natural Language Understanding: When and Why Does It Work? 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