Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models

To increase power and minimize bias in statistical analyses, quantitative outcomes are often adjusted for precision and confounding variables using standard regression approaches. The outcome is modeled as a linear function of the precision variables and confounders; however, for many complex phenot...

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Detalles Bibliográficos
Autores principales: Voorhies, Kirsten, Bie, Ruofan, Hokanson, John E., Weiss, Scott T., Chen Wu, Ann, Hecker, Julian, Hahn, Georg, Demeo, Dawn L., Silverman, Edwin, Cho, Michael H., Lange, Christoph, Lutz, Sharon M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094505/
https://www.ncbi.nlm.nih.gov/pubmed/35544468
http://dx.doi.org/10.1371/journal.pone.0266752

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094505/
https://www.ncbi.nlm.nih.gov/pubmed/35544468
http://dx.doi.org/10.1371/journal.pone.0266752

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