View in EDS HTML Full Text PDF Full Text

A multiple imputation approach in enhancing causal inference for overall survival in randomized controlled trials with crossover.

Saved in:
Bibliographic Details
Title: A multiple imputation approach in enhancing causal inference for overall survival in randomized controlled trials with crossover.
Authors: Zhao R; Department of Statistics, Ohio State University, Columbus, OH, USA., Lin J; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Xu J; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Liu G; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Wang B; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA., Lin J; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA.
Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2026 May; Vol. 36 (3), pp. 438-455. Date of Electronic Publication: 2024 Dec 11.
Publication Type: Journal Article
Journal Info: Publisher: Taylor & Francis Country of Publication: England NLM ID: 9200436 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1520-5711 (Electronic) Linking ISSN: 10543406 NLM ISO Abbreviation: J Biopharm Stat Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 39663598
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A multiple imputation approach in enhancing causal inference for overall survival in randomized controlled trials with crossover.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhao+R%22">Zhao R</searchLink>; Department of Statistics, Ohio State University, Columbus, OH, USA.<br /><searchLink fieldCode="AU" term="%22Lin+J%22">Lin J</searchLink>; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Liu+G%22">Liu G</searchLink>; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Wang+B%22">Wang B</searchLink>; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA.<br /><searchLink fieldCode="AU" term="%22Lin+J%22">Lin J</searchLink>; Statistical and Quantitative Sciences, Takeda Pharmaceuticals, Cambridge, MA, USA.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229200436%22">Journal of biopharmaceutical statistics</searchLink> [J Biopharm Stat] 2026 May; Vol. 36 (3), pp. 438-455. <i>Date of Electronic Publication: </i>2024 Dec 11.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9200436 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-5711 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210543406%22">10543406 </searchLink><i>NLM ISO Abbreviation: </i>J Biopharm Stat <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=39663598
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10543406.2024.2434500
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 438
    Titles:
      – TitleFull: A multiple imputation approach in enhancing causal inference for overall survival in randomized controlled trials with crossover.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhao R
      – PersonEntity:
          Name:
            NameFull: Lin J
      – PersonEntity:
          Name:
            NameFull: Xu J
      – PersonEntity:
          Name:
            NameFull: Liu G
      – PersonEntity:
          Name:
            NameFull: Wang B
      – PersonEntity:
          Name:
            NameFull: Lin J
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 05
              Text: 2026 May
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1520-5711
          Numbering:
            – Type: volume
              Value: 36
            – Type: issue
              Value: 3
          Titles:
            – TitleFull: Journal of biopharmaceutical statistics
              Type: main
ResultId 1