Predicting patient survival after deceased donor kidney transplantation using flexible parametric modelling

BACKGROUND: The influence of donor and recipient factors on outcomes following kidney transplantation is commonly analysed using Cox regression models, but this approach is not useful for predicting long-term survival beyond observed data. We demonstrate the application of a flexible parametric appr...

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Библиографические подробности
Опубликовано в: :BMC Nephrol
Главные авторы: Li, Bernadette, Cairns, John A., Robb, Matthew L., Johnson, Rachel J., Watson, Christopher J. E., Forsythe, John L., Oniscu, Gabriel C., Ravanan, Rommel, Dudley, Christopher, Roderick, Paul, Metcalfe, Wendy, Tomson, Charles R., Bradley, J. Andrew
Формат: Artigo
Язык:Inglês
Опубликовано: BioMed Central 2016
Предметы:
Technical Advance
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC4881185/
https://ncbi.nlm.nih.gov/pubmed/27225846
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12882-016-0264-0
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