An advanced prediction model for postoperative complications and early implant failure

OBJECTIVES: Risk prediction in implant dentistry presents specific challenges including the dependence of observations from patients with multiple implants and rare outcome events. The aim of this study was to use advanced statistical methods based on penalized regression to assess risk factors in i...

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Detalles Bibliográficos
Autores principales: Feher, Balazs, Lettner, Stefan, Heinze, Georg, Karg, Florian, Ulm, Christian, Gruber, Reinhard, Kuchler, Ulrike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589383/
https://www.ncbi.nlm.nih.gov/pubmed/32683718
http://dx.doi.org/10.1111/clr.13636

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7589383/
https://www.ncbi.nlm.nih.gov/pubmed/32683718
http://dx.doi.org/10.1111/clr.13636

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