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We removed outliers in gestational age using a linear regression approach in which gestational age was regressed against birth weight in strata of whole weeks of gestation.
Logistic model also tested for the non linear regression approach.
In his work, relationship between speed and density is introduced relying on simple linear regression approach.
The weight of each term was obtained by the multiple linear regression approach.
The agreement between the results obtained with the two different quantification methods was evaluated by the Bland-Altman analysis including a linear regression approach [18, 19].
While the models created from the multiple linear regression approach and LASSO are linear combinations of their used features, the models obtained from the random forest are not.
Among the four methods used, the linear regression approach produced the best hydrologic output in terms of higher Nash Sutcliffe coefficient.
A multiple linear regression approach is applied to LIF-spectra of mixtures from selected components at known concentrations in various combinations.
Therefore, a mathematical model based on a multiple linear regression approach could be applied to discriminate between the current response for glucose and maltose.
In this paper, an asymmetric fuzzy linear regression approach is proposed to estimate the functional relationships for product planning based on QFD.
We compared managed (i.e., DWM) and free draining records using paired t-tests, and identified factors associated with DWM effectiveness using a multiple linear regression approach.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com