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Standardized and weighted time-dependent receiver operating characteristic curves to evaluate the intrinsic prognostic capacities of a marker by taking into account confounding factors.
Le Borgne, Florent; Combescure, Christophe; Gillaizeau, Florence; Giral, Magali; Chapal, Marion; Giraudeau, Bruno; Foucher, Yohann.
Afiliação
  • Le Borgne F; 1 Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.
  • Combescure C; 2 IDBC/A2com, Pace, France.
  • Gillaizeau F; 3 ITUN, INSERM U1064, Nantes, France.
  • Giral M; 4 CRC and Division of Clinical Epidemiology, Department of Health and Community Medicine, University of Geneva, University Hospitals of Geneva, Geneva, Switzerland.
  • Chapal M; 1 Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.
  • Giraudeau B; 5 Department of Statistical Science, University College London, London, UK.
  • Foucher Y; 1 Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.
Stat Methods Med Res ; 27(11): 3397-3410, 2018 11.
Article em En | MEDLINE | ID: mdl-28633603
Time-dependent receiver operating characteristic curves allow to evaluate the capacity of a marker to discriminate between subjects who experience the event up to a given prognostic time from those who are free of this event. In this article, we propose an inverse probability weighting estimator of a standardized and weighted time-dependent receiver operating characteristic curve. This estimator provides a measure of the prognostic capacities by taking into account potential confounding factors. We illustrate the robustness of the estimator by a simulation-based study and its usefulness by two applications in kidney transplantation.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Prognóstico / Biomarcadores / Curva ROC Tipo de estudo: Prognostic_studies Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Prognóstico / Biomarcadores / Curva ROC Tipo de estudo: Prognostic_studies Idioma: En Revista: Stat Methods Med Res Ano de publicação: 2018 Tipo de documento: Article País de afiliação: França