Multiple imputation approaches for epoch-level accelerometer data in trials.

Saved in:
Bibliographic Details
Title: Multiple imputation approaches for epoch-level accelerometer data in trials.
Authors: Tackney MS; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, UK., Williamson E; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, UK., Cook DG; Population Health Research Institute, St George's, University of London, UK., Limb E; Population Health Research Institute, St George's, University of London, UK., Harris T; Population Health Research Institute, St George's, University of London, UK., Carpenter J; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, UK.; MRC Clinical Trials Unit at University College London, UK.
Source: Statistical methods in medical research [Stat Methods Med Res] 2023 Oct; Vol. 32 (10), pp. 1936-1960. Date of Electronic Publication: 2023 Jul 31.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
Journal Info: Publisher: SAGE Publications Country of Publication: England NLM ID: 9212457 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1477-0334 (Electronic) Linking ISSN: 09622802 NLM ISO Abbreviation: Stat Methods Med Res 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: 37519214
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Multiple imputation approaches for epoch-level accelerometer data in trials.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Tackney+MS%22">Tackney MS</searchLink>; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, UK.<br /><searchLink fieldCode="AU" term="%22Williamson+E%22">Williamson E</searchLink>; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, UK.<br /><searchLink fieldCode="AU" term="%22Cook+DG%22">Cook DG</searchLink>; Population Health Research Institute, St George's, University of London, UK.<br /><searchLink fieldCode="AU" term="%22Limb+E%22">Limb E</searchLink>; Population Health Research Institute, St George's, University of London, UK.<br /><searchLink fieldCode="AU" term="%22Harris+T%22">Harris T</searchLink>; Population Health Research Institute, St George's, University of London, UK.<br /><searchLink fieldCode="AU" term="%22Carpenter+J%22">Carpenter J</searchLink>; Department of Medical Statistics, London School of Hygiene and Tropical Medicine, UK.; MRC Clinical Trials Unit at University College London, UK.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%229212457%22">Statistical methods in medical research</searchLink> [Stat Methods Med Res] 2023 Oct; Vol. 32 (10), pp. 1936-1960. <i>Date of Electronic Publication: </i>2023 Jul 31.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22SAGE+Publications%22">SAGE Publications </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9212457 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1477-0334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209622802%22">09622802 </searchLink><i>NLM ISO Abbreviation: </i>Stat Methods Med Res <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37519214
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1177/09622802231188518
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1936
    Titles:
      – TitleFull: Multiple imputation approaches for epoch-level accelerometer data in trials.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Tackney MS
      – PersonEntity:
          Name:
            NameFull: Williamson E
      – PersonEntity:
          Name:
            NameFull: Cook DG
      – PersonEntity:
          Name:
            NameFull: Limb E
      – PersonEntity:
          Name:
            NameFull: Harris T
      – PersonEntity:
          Name:
            NameFull: Carpenter J
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2023 Oct
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 1477-0334
          Numbering:
            – Type: volume
              Value: 32
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: Statistical methods in medical research
              Type: main
ResultId 1