Evaluating the harmonisation potential of diverse cohort datasets.

Bauermeister, Sarah; Phatak, Mukta; Sparks, Kelly; Sargent, Lana; Griswold, Michael; McHugh, Caitlin; Nalls, Mike; Young, Simon; Bauermeister, Joshua; Elliott, Paul; Steptoe, Andrew; Porteous, David; Dufouil, Carole; Gallacher, John

Bauermeister, Sarah; Phatak, Mukta; Sparks, Kelly; Sargent, Lana; Griswold, Michael; McHugh, Caitlin; Nalls, Mike; Young, Simon; Bauermeister, Joshua; Elliott, Paul; Steptoe, Andrew; Porteous, David; Dufouil, Carole; Gallacher, John.

Afiliação

Bauermeister S; Dementias Platform UK, Oxford, UK. sarah.bauermeister@psych.ox.ac.uk.
Phatak M; Alzheimer Disease Data Initiative, Kirkland, Washington, USA.
Sparks K; Evaluserve, Bengaluru, India.
Sargent L; National Institute of Aging, Bethesda, USA.
Griswold M; University of Mississippi, Oxford, USA.
McHugh C; Alzheimer Disease Data Initiative, Kirkland, Washington, USA.
Nalls M; Data Tecnica International LLC, Washington, USA.
Young S; Dementias Platform UK, Oxford, UK.
Bauermeister J; Dementias Platform UK, Oxford, UK.
Elliott P; Imperial College, London, England.
Steptoe A; University College London, London, England.
Porteous D; University of Edinburgh, Edinburgh, Scotland.
Dufouil C; University of Bordeaux, Bordeaux, France.
Gallacher J; Dementias Platform UK, Oxford, UK.

Eur J Epidemiol ; 38(6): 605-615, 2023 Jun.

Article em En | MEDLINE | ID: mdl-37099244

Assuntos

Conjuntos de Dados como Assunto; Descoberta do Conhecimento; Humanos; Padrões de Referência

Palavras-chave

C-surv data model; Cohort; Data discovery; Data harmonisation; Data visualisation; Datasets

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Descoberta do Conhecimento / Conjuntos de Dados como Assunto Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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