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Data Resource: population level family justice administrative data with opportunities for data linkage.
Johnson, R D; Ford, D V; Broadhurst, K; Cusworth, L; Jones, K H; Akbari, A; Bedston, S; Alrouh, B; Doebler, S; Lee, A; Smart, J; Thompson, S; Trinder, L; Griffiths, L J.
Afiliação
  • Johnson RD; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
  • Ford DV; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
  • Broadhurst K; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK.
  • Cusworth L; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK.
  • Jones KH; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
  • Akbari A; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
  • Bedston S; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK.
  • Alrouh B; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK.
  • Doebler S; Centre for Child & Family Justice Research, Lancaster University, Lancaster, LA1 4YW, UK.
  • Lee A; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
  • Smart J; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
  • Thompson S; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
  • Trinder L; Law School, University of Exeter, Exeter, EX4 4RJ, UK.
  • Griffiths LJ; Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.
Int J Popul Data Sci ; 5(1): 1339, 2020.
Article em En | MEDLINE | ID: mdl-34233348

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Popul Data Sci Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Popul Data Sci Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido