View in EDS

Administrative data linkage to Census 2021 in Wales, UK: A cross-sectional study examining completeness and representativeness for population analytics.

Saved in:
Bibliographic Details
Title: Administrative data linkage to Census 2021 in Wales, UK: A cross-sectional study examining completeness and representativeness for population analytics.
Authors: Lyons J; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.; Joint first authors., Johnson RD; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.; Joint first authors., Edwards M; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP., Turner S; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP., Fry R; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP., Griffiths LJ; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP., Lyons RA; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.
Source: International journal of population data science [Int J Popul Data Sci] 2025 Nov 26; Vol. 10 (1), pp. 2994. Date of Electronic Publication: 2025 Nov 26 (Print Publication: 2025).
Publication Type: Journal Article; Observational Study
Journal Info: Publisher: Swansea University Country of Publication: Wales NLM ID: 101737740 Publication Model: eCollection Cited Medium: Internet ISSN: 2399-4908 (Electronic) Linking ISSN: 23994908 NLM ISO Abbreviation: Int J Popul Data Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41923945
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Administrative data linkage to Census 2021 in Wales, UK: A cross-sectional study examining completeness and representativeness for population analytics.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Lyons+J%22">Lyons J</searchLink>; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.; Joint first authors.<br /><searchLink fieldCode="AU" term="%22Johnson+RD%22">Johnson RD</searchLink>; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.; Joint first authors.<br /><searchLink fieldCode="AU" term="%22Edwards+M%22">Edwards M</searchLink>; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.<br /><searchLink fieldCode="AU" term="%22Turner+S%22">Turner S</searchLink>; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.<br /><searchLink fieldCode="AU" term="%22Fry+R%22">Fry R</searchLink>; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.<br /><searchLink fieldCode="AU" term="%22Griffiths+LJ%22">Griffiths LJ</searchLink>; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.<br /><searchLink fieldCode="AU" term="%22Lyons+RA%22">Lyons RA</searchLink>; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101737740%22">International journal of population data science</searchLink> [Int J Popul Data Sci] 2025 Nov 26; Vol. 10 (1), pp. 2994. <i>Date of Electronic Publication: </i>2025 Nov 26 (<i>Print Publication: </i>2025).
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Observational Study
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Swansea+University%22">Swansea University </searchLink><i>Country of Publication: </i>Wales <i>NLM ID: </i>101737740 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2399-4908 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2223994908%22">23994908 </searchLink><i>NLM ISO Abbreviation: </i>Int J Popul Data Sci <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41923945
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.23889/ijpds.v10i1.2994
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 2994
    Titles:
      – TitleFull: Administrative data linkage to Census 2021 in Wales, UK: A cross-sectional study examining completeness and representativeness for population analytics.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lyons J
      – PersonEntity:
          Name:
            NameFull: Johnson RD
      – PersonEntity:
          Name:
            NameFull: Edwards M
      – PersonEntity:
          Name:
            NameFull: Turner S
      – PersonEntity:
          Name:
            NameFull: Fry R
      – PersonEntity:
          Name:
            NameFull: Griffiths LJ
      – PersonEntity:
          Name:
            NameFull: Lyons RA
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 26
              M: 11
              Text: 2025 Nov 26
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2399-4908
          Numbering:
            – Type: volume
              Value: 10
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: International journal of population data science
              Type: main
ResultId 1