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.
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| 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. |
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| 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 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 27910122 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| 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 |
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