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The core idea of our model inherits the simplicity and the usefulness of generalized linear models and accelerated failure time models from the classical statistics literature. Our approach is shown to be flexible and applicable in a variety of statistical settings, and can be adopted for transfer learning problems in various domains including epidemiology, genetics and biomedicine. As concrete applications, we illustrate the power of our approach (i) through mortality prediction for British Asians by borrowing strength from similar data from the larger pool of British Caucasians, using the UK Biobank data, and (ii) in overcoming a spurious correlation present in the source domain of the Waterbirds dataset.<\/jats:p>","DOI":"10.1093\/biomet\/asad029","type":"journal-article","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T06:53:50Z","timestamp":1683788030000},"page":"31-50","source":"Crossref","is-referenced-by-count":7,"title":["A linear adjustment-based approach to posterior drift in transfer learning"],"prefix":"10.1093","volume":"111","author":[{"given":"Subha","family":"Maity","sequence":"first","affiliation":[{"name":"Department of Statistics, University of Michigan , 1085 South University Avenue , Ann Arbor, Michigan 48109, U.S.A . smaity@umich.edu"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diptavo","family":"Dutta","sequence":"additional","affiliation":[{"name":"Integrative Tumor Epidemiology Branch, Division of Cancer Epidemiology & Genetics, National Cancer Institute , 9609 Medical Center Drive , Bethesda, Maryland 20892, U.S.A"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7765-2101","authenticated-orcid":false,"given":"Jonathan","family":"Terhorst","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuekai","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moulinath","family":"Banerjee","sequence":"additional","affiliation":[{"name":"Department of Statistics, University of Michigan , 1085 South University Avenue , Ann Arbor, Michigan 48109, U.S.A"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2023,7,27]]},"reference":[{"key":"2024072700012275400_asad029-B1","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1214\/009053606000001217","article-title":"Fast learning rates for plug-in classifiers","volume":"35","author":"Audibert","year":"2007","journal-title":"Ann. 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