Article
Covariate adjustment of spirometric and smoking phenotypes: The potential of neural network models.
PloS one - 1 Jan 2022
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
Abstract excerpt
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 phenotypes, the assumptions of the linear regression models are not always met. As an alternative, we used neural networks...
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