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Joint models for the longitudinal analysis of measurement scales in the presence of informative dropout.
Saulnier, Tiphaine; Philipps, Viviane; Meissner, Wassilios G; Rascol, Olivier; Pavy-Le Traon, Anne; Foubert-Samier, Alexandra; Proust-Lima, Cécile.
Afiliação
  • Saulnier T; Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR1219, F-33000 Bordeaux, France. Electronic address: tiphaine.saulnier@u-bordeaux.fr.
  • Philipps V; Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR1219, F-33000 Bordeaux, France.
  • Meissner WG; CHU Bordeaux, Service de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, F-33000 Bordeaux, France; Univ. Bordeaux, CNRS, IMN, UMR 5293, F-33000 Bordeaux, France.
  • Rascol O; French Reference Centre for MSA, University Hospital Toulouse, F-31000 Toulouse, France; Inserm, Toulouse University and CHU Toulouse, Clinical Investigation Center CIC 1436, NS-Park/F-CRIN Network, NeuroToul COEN Center, and Departments of Neurosciences and Clinical Pharmacology, F-31000 Toulouse,
  • Pavy-Le Traon A; French Reference Centre for MSA, University Hospital Toulouse, F-31000 Toulouse, France; Institut des Maladies Métaboliques et Cardiovasculaires, Inserm U1297, univ. Toulouse, F-31000 Toulouse, France.
  • Foubert-Samier A; Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR1219, F-33000 Bordeaux, France; CHU Bordeaux, Service de Neurologie des Maladies Neurodégénératives, IMNc, CRMR AMS, F-33000 Bordeaux, France; Univ. Bordeaux, CNRS, IMN, UMR 5293, F-33000 Bordeaux, France.
  • Proust-Lima C; Univ. Bordeaux, Inserm, Bordeaux Population Health Research Center, UMR1219, F-33000 Bordeaux, France.
Methods ; 203: 142-151, 2022 07.
Article em En | MEDLINE | ID: mdl-35283328
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article