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Post hoc power calculation of logistic regression was calculated using G power (3.1.9).
A nonlinear percentile regression was calculated for the remaining two variables, richness and density, to provide an estimate of the maximum production for different levels of richness and density.
Finally, a weighted multiple stepwise regression was calculated.
R2, the estimate of the percentage of variation explained by regression, was calculated as the ratio of regression sum of squares to total sum of squares.
A linear regression was calculated for the GC plot beginning with 30 data points starting at the 100 bp position to exclude the portion of the dataset with high variance in GC content.
Regression analysis For the calculation of the EMCP vertical and horizontal EOG (SO2, IO2, LO1, LO2) were used and the regression was calculated with (EMCPs) and without raw average subtraction (EMCP w/s).
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bBecause the logarithm of zero is undefined, the regression is calculated by ignoring cells where there were no calls.
Odds ratios (Ors) and p values adjusted for birth weight and ethnic origin, obtained by logistic regression, were calculated to test the association between the genotypes and BPD.
Student's t test, logistic regression, stepwise logistic regression and multiple logistic regression were calculated.
The window is then shifted and another local regression is calculated.
The lasso regression is calculated using a modified version of the LARS algorithm [ 37, 38].
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