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

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

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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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Bibliographic Details
Main Authors: Kirsten Voorhies, Ruofan Bie, John E Hokanson, Scott T Weiss, Ann Chen Wu, Julian Hecker, Georg Hahn, Dawn L Demeo, Edwin Silverman, Michael H Cho, Christoph Lange, Sharon M Lutz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0266752

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https://doi.org/10.1371/journal.pone.0266752

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