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Improving the within-node estimation of survival trees while retaining interpretability.

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Title: Improving the within-node estimation of survival trees while retaining interpretability.
Authors: Li, Haolin1 (AUTHOR), Fan, Yiyang1 (AUTHOR), Cai, Jianwen1 (AUTHOR) cai@bios.unc.edu
Source: Journal of Applied Statistics. Oct2025, Vol. 52 Issue 13, p2544-2558. 15p.
Database: Mathematics Source
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Header DbId: msf
DbLabel: Mathematics Source
An: 188424959
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Improving the within-node estimation of survival trees while retaining interpretability.
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Haolin%22">Li, Haolin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fan%2C+Yiyang%22">Fan, Yiyang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cai%2C+Jianwen%22">Cai, Jianwen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cai@bios.unc.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Statistics%22">Journal of Applied Statistics</searchLink>. Oct2025, Vol. 52 Issue 13, p2544-2558. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=188424959
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/02664763.2025.2473535
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 2544
    Titles:
      – TitleFull: Improving the within-node estimation of survival trees while retaining interpretability.
        Type: main
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          Name:
            NameFull: Li, Haolin
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          Name:
            NameFull: Fan, Yiyang
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            NameFull: Cai, Jianwen
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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              Value: 52
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              Value: 13
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            – TitleFull: Journal of Applied Statistics
              Type: main
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