One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information.

Saved in:
Bibliographic Details
Title: One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information.
Authors: Hua H; Biostatistics & Data Sciences Asia, Boehringer Ingelheim, Shanghai, 200040, China., Burke DL; Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, U.K., Crowther MJ; Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, U.K.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, S-171 77, Stockholm, Sweden., Ensor J; Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, U.K., Tudur Smith C; MRC North West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, U.K., Riley RD; Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, U.K.
Source: Statistics in medicine [Stat Med] 2017 Feb 28; Vol. 36 (5), pp. 772-789. Date of Electronic Publication: 2016 Dec 01.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: England NLM ID: 8215016 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-0258 (Electronic) Linking ISSN: 02776715 NLM ISO Abbreviation: Stat Med Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 27910122
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Hua+H%22">Hua H</searchLink>; Biostatistics & Data Sciences Asia, Boehringer Ingelheim, Shanghai, 200040, China.<br /><searchLink fieldCode="AU" term="%22Burke+DL%22">Burke DL</searchLink>; Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, U.K.<br /><searchLink fieldCode="AU" term="%22Crowther+MJ%22">Crowther MJ</searchLink>; Department of Health Sciences, University of Leicester, Leicester, LE1 7RH, U.K.; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, S-171 77, Stockholm, Sweden.<br /><searchLink fieldCode="AU" term="%22Ensor+J%22">Ensor J</searchLink>; Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, U.K.<br /><searchLink fieldCode="AU" term="%22Tudur+Smith+C%22">Tudur Smith C</searchLink>; MRC North West Hub for Trials Methodology Research, Department of Biostatistics, University of Liverpool, Liverpool, L69 3GL, U.K.<br /><searchLink fieldCode="AU" term="%22Riley+RD%22">Riley RD</searchLink>; Research Institute for Primary Care and Health Sciences, Keele University, Keele, Staffordshire, ST5 5BG, U.K.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228215016%22">Statistics in medicine</searchLink> [Stat Med] 2017 Feb 28; Vol. 36 (5), pp. 772-789. <i>Date of Electronic Publication: </i>2016 Dec 01.
– 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="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>8215016 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1097-0258 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2202776715%22">02776715 </searchLink><i>NLM ISO Abbreviation: </i>Stat Med <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=27910122
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/sim.7171
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 772
    Titles:
      – TitleFull: One-stage individual participant data meta-analysis models: estimation of treatment-covariate interactions must avoid ecological bias by separating out within-trial and across-trial information.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Hua H
      – PersonEntity:
          Name:
            NameFull: Burke DL
      – PersonEntity:
          Name:
            NameFull: Crowther MJ
      – PersonEntity:
          Name:
            NameFull: Ensor J
      – PersonEntity:
          Name:
            NameFull: Tudur Smith C
      – PersonEntity:
          Name:
            NameFull: Riley RD
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 28
              M: 02
              Text: 2017 Feb 28
              Type: published
              Y: 2017
          Identifiers:
            – Type: issn-electronic
              Value: 1097-0258
          Numbering:
            – Type: volume
              Value: 36
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Statistics in medicine
              Type: main
ResultId 1