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Journal of the American Statistical Association Volume 119, 2024 - Issue 545
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Theory and Methods

Assumption-Lean Cox Regression

Stijn Vansteelandta Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Gent, Belgium;b Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, UKCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-4207-8733View further author information
ORCID Icon,
Oliver Dukesa Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Gent, BelgiumView further author information
,
Kelly Van Lanckera Department of Applied Mathematics, Computer Science and Statistics, Ghent University, Gent, BelgiumORCID Iconhttps://orcid.org/0000-0003-3458-3788View further author information
ORCID Icon &
Torben Martinussenc Department of Biostatistics, University of Copenhagen, Copenhagen, DenmarkView further author information
Pages 475-484 | Received 11 Dec 2020, Accepted 09 Sep 2022, Published online: 02 Nov 2022

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Ted Westling, Alex Luedtke, Peter B. Gilbert & Marco Carone. (2023) Inference for Treatment-Specific Survival Curves Using Machine Learning. Journal of the American Statistical Association 0:0, pages 1-13.
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Masataka Taguri, Kunihiko Takahashi, Sho Komukai, Yuri Ito, Satoshi Hattori, Ikuko Funatogawa, Tomohiro Shinozaki, Michio Yamamoto & Kenichi Hayashi. (2024) Advancements of Biometrics in the Field of Epidemiology疫学分野での計量生物学の発展. Japanese Journal of Biometrics 44:2, pages 129-200.
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Kelly Van Lancker, Oliver Dukes & Stijn Vansteelandt. (2023) Ensuring Valid Inference for Cox Hazard Ratios After Variable Selection. Biometrics 79:4, pages 3096-3110.
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