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In this work a linear regression model including age, vitamin intake, osteoarthritis, frailty phenotype, and tumor necrosis factor alpha (TNF-α) explained that the change in DHA/arachidonic ratio, TNF-α, and selenium intake had the major contribution to the observed change in walking speed [ 182].
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Taking into account the trade-off between complexity and accuracy, always inherent in network optimization tools for which models proposed in this work are designed, a linear regression model structure with a single predictor variable is chosen.
Associations between PA variables and teachers' mental, physical, and work-related health were assessed using a linear regression analysis, adjusted for age, BMI, and gender.
This work solves an experiment design problem for a linear regression problem using a reduced order model.
Threshold-free alternatives to mmHG include the work of McLeay and Bailey, in which a linear regression method is applied [ 43].
To solve the two proposed MINL models, a linear regression approximation is suggested to linearize the models; this technique works based on a piecewise linear transformation.
a Linear regression method.
Consider a linear regression model.
A linear regression model was used to calculate regression coefficients.
A criterion for correlation coefficient of a linear regression.
Based on a linear regression model, it drops about 3.5% for each typo noticed.
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