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Apports des méthodes récentes de modélisation de survie dans le contexte spécifique des patients dialysés

Emmanuel Villar 1
1 Biostatistiques santé
Département biostatistiques et modélisation pour la santé et l'environnement [LBBE]
Abstract : Modelling the effect of dialysis modality on the survival of end-stage renal disease patients remains a controversial issue. We showed that this effect varied with time after first dialysis, that adjustment for the variable “end-stage renal disease rapidly progressive (<6 months)” partly accounted for the association of peritoneal dialysis with better survival during the first year of dialysis, that adjustment for the variable “registration on renal transplantation waiting list” partly accounted for the association of hemodialysis with better survival after the first year after first dialysis. Sub-group analysis showed interactions between age, diabetes mellitus, cardiovascular diseases and dialysis modality on survival outcome. Censoring for dialysis modality switches or renal transplantation, use of propensity score method or relative survival model did not change these results.
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https://tel.archives-ouvertes.fr/tel-00160433
Contributor : Emmanuel Villar <>
Submitted on : Friday, July 6, 2007 - 2:40:58 AM
Last modification on : Monday, October 19, 2020 - 11:12:47 AM
Long-term archiving on: : Friday, November 25, 2016 - 5:14:44 PM

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Emmanuel Villar. Apports des méthodes récentes de modélisation de survie dans le contexte spécifique des patients dialysés. Sciences du Vivant [q-bio]. Université Claude Bernard - Lyon I, 2007. Français. ⟨tel-00160433⟩

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