Leveraging real-world data to conduct externally controlled trial for rare diseases with count-type endpoints: utilizing multiple entries - a simulation study.

Saved in:
Bibliographic Details
Title: Leveraging real-world data to conduct externally controlled trial for rare diseases with count-type endpoints: utilizing multiple entries - a simulation study.
Authors: Sun T; Biometrics, Moderna, Inc., Cambridge, Massachusetts, USA., Liao E; Biometrics, Moderna, Inc., Cambridge, Massachusetts, USA., Shao N; Biometrics, Moderna, Inc., Cambridge, Massachusetts, USA., Luo J; Biometrics, Moderna, Inc., Cambridge, Massachusetts, USA.
Source: Journal of biopharmaceutical statistics [J Biopharm Stat] 2026 May; Vol. 36 (3), pp. 337-349. Date of Electronic Publication: 2024 Oct 27.
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: 39462305
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Leveraging real-world data to conduct externally controlled trial for rare diseases with count-type endpoints: utilizing multiple entries - a simulation study.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Sun+T%22">Sun T</searchLink>; Biometrics, Moderna, Inc., Cambridge, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Liao+E%22">Liao E</searchLink>; Biometrics, Moderna, Inc., Cambridge, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Shao+N%22">Shao N</searchLink>; Biometrics, Moderna, Inc., Cambridge, Massachusetts, USA.<br /><searchLink fieldCode="AU" term="%22Luo+J%22">Luo J</searchLink>; Biometrics, Moderna, Inc., Cambridge, Massachusetts, 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. 337-349. <i>Date of Electronic Publication: </i>2024 Oct 27.
– 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=39462305
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10543406.2024.2420644
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 337
    Titles:
      – TitleFull: Leveraging real-world data to conduct externally controlled trial for rare diseases with count-type endpoints: utilizing multiple entries - a simulation study.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Sun T
      – PersonEntity:
          Name:
            NameFull: Liao E
      – PersonEntity:
          Name:
            NameFull: Shao N
      – PersonEntity:
          Name:
            NameFull: Luo 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