Title | Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach |
Author | |
Publication Years | 2023
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DOI | |
Source Title | |
ISSN | 2168-2372
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Volume | 11Pages:232-246 |
Keywords | |
URL | [Source Record] |
SUSTech Authorship | First
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Data Source | IEEE
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PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10068535 |
Citation statistics |
Cited Times [WOS]:0
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Document Type | Journal Article |
Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/519612 |
Department | Department of Statistics and Data Science |
Affiliation | 1.Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China 2.Department of Neurology and ICCTR Biostatistics and Research Design Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA |
First Author Affilication | Department of Statistics and Data Science |
First Author's First Affilication | Department of Statistics and Data Science |
Recommended Citation GB/T 7714 |
Yakun Liang,Xuejun Jiang,Bo Zhang. Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach[J]. IEEE Journal of Translational Engineering in Health and Medicine,2023,11:232-246.
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APA |
Yakun Liang,Xuejun Jiang,&Bo Zhang.(2023).Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach.IEEE Journal of Translational Engineering in Health and Medicine,11,232-246.
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MLA |
Yakun Liang,et al."Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach".IEEE Journal of Translational Engineering in Health and Medicine 11(2023):232-246.
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