Your browser doesn't support javascript.
loading
Prediction models for living organ transplantation are poorly developed, reported, and validated: a systematic review.
Haller, Maria C; Aschauer, Constantin; Wallisch, Christine; Leffondré, Karen; van Smeden, Maarten; Oberbauer, Rainer; Heinze, Georg.
Afiliación
  • Haller MC; Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria; Department for Internal Medicine III, Nephrology and Hypertension Diseases, Transplantation Medicine and Rheumatology, Ordensklinikum Linz, Li
  • Aschauer C; Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
  • Wallisch C; Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.
  • Leffondré K; University of Bordeaux, INSERM, Bordeaux Population Health Research Center, UMR1219, Bordeaux, France.
  • van Smeden M; Julius Center for Health Science and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
  • Oberbauer R; Division of Nephrology and Dialysis, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
  • Heinze G; Center for Medical Statistics, Informatics and Intelligent Systems (CeMSIIS), Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria. Electronic address: georg.heinze@meduniwien.ac.at.
J Clin Epidemiol ; 145: 126-135, 2022 05.
Article en En | MEDLINE | ID: mdl-35124188

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trasplante de Riñón Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Liechtenstein Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Trasplante de Riñón Tipo de estudio: Prognostic_studies / Risk_factors_studies / Systematic_reviews Límite: Humans Idioma: En Revista: J Clin Epidemiol Asunto de la revista: EPIDEMIOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: Liechtenstein Pais de publicación: Estados Unidos