Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach.

Detalles Bibliográficos
Publicado en:Statistics in Medicine Vol. 43; no. 29; pp. 5573 - 5583
Autores principales: Tong, Jiayi, Li, Lu, Reps, Jenna Marie, Lorman, Vitaly, Jing, Naimin, Edmondson, Mackenzie, Lou, Xiwei, Jhaveri, Ravi, Kelleher, Kelly J., Pajor, Nathan M., Forrest, Christopher B., Bian, Jiang, Chu, Haitao, Chen, Yong
Formato: Journal Article
Publicado: Wiley-Blackwell Dec2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2024
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        atl: Advancing Interpretable Regression Analysis for Binary Data: A Novel Distributed Algorithm Approach.
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          Tong, Jiayi
          Li, Lu
          Reps, Jenna Marie
          Lorman, Vitaly
          Jing, Naimin
          Edmondson, Mackenzie
          Lou, Xiwei
          Jhaveri, Ravi
          Kelleher, Kelly J.
          Pajor, Nathan M.
          Forrest, Christopher B.
          Bian, Jiang
          Chu, Haitao
          Chen, Yong
        affil: Center for Health AI and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia Pennsylvania,, USA
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      pubtype: Academic Journal
      doctype: Journal Article
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    language: English
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