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Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer.

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Title: Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer.
Authors: Das, Priyam1, Peterson, Christine B.2, Ni, Yang3, Reuben, Alexandre4, Zhang, Jiexin5, Zhang, Jianjun4, Do, Kim‐Anh2, Baladandayuthapani, Veerabhadran6, veerab@umich.edu
Source: Biometrics; Sep2023, Vol. 79 Issue 3, p2474-2488, 15p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 171903124
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171903124
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1111/biom.13774
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2474
    Titles:
      – TitleFull: Bayesian hierarchical quantile regression with application to characterizing the immune architecture of lung cancer.
        Type: main
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          Name:
            NameFull: Das, Priyam
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            NameFull: Peterson, Christine B.
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            NameFull: Ni, Yang
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            NameFull: Reuben, Alexandre
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            NameFull: Zhang, Jiexin
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            NameFull: Zhang, Jianjun
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            NameFull: Do, Kim‐Anh
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 79
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          Titles:
            – TitleFull: Biometrics
              Type: main
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