Partnering with Authors to Enhance Reproducibility at JASA,Journal of the American Statistical Association - X-MOL

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Partnering with Authors to Enhance Reproducibility at JASA
Journal of the American Statistical Association ( IF 3.7 ) Pub Date : 2024-04-08 , DOI: 10.1080/01621459.2024.2340557
Julia Wrobel ₁ , Emily C. Hector ₂ , Lorin Crawford ₃ , Lucy D’Agostino McGowan ₄ , Natalia da Silva ₅ , Jeff Goldsmith ₆ , Stephanie Hicks ₇ , Michael Kane ₈ , Youjin Lee ₉ , Vinicius Mayrink ₁₀ , Christopher J. Paciorek ₁₁ , Therri Usher ₁₂ , Julian Wolfson ₁₃

Affiliation

Department of Biostatistics and Bioinformatics, Emory University
Department of Statistics, NC State University
Microsoft Research, Department of Biostatistics, Brown University
Department of Statistical Sciences, Wake Forest University
Department of Quantitative Methods, Universidad de la República
Department of Biostatistics, Columbia University
Department of Biostatistics, Johns Hopkins University, Department of Biomedical Engineering, Johns Hopkins University
Department of Biostatistics, Yale University
Department of Biostatistics, Brown University
Department of Statistics, Federal University of Minas Gerais
Department of Statistics, University of California, Berkeley
Food and Drug Administration
Department of Biostatistics, University of Minnesota

Published in Journal of the American Statistical Association (Just accepted, 2024)

中文翻译：

与作者合作提高 JASA 的可重复性

发表于《美国统计协会杂志》（刚刚接受，2024 年）

更新日期：2024-04-08

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