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While most variables are statistically significant in the discrete choice model, none of the location variables are statistically significant in the continuous model.
Most variables are still statistically significant when variables about children are added into the equation.
As the results indicate, most variables are consistent which include the variable crash circumstance for the case of intermediate severity level (injury).
The demand of YJD in mode 3 is much more vital than in mode 2 because the distance in bus in mode 3 is mostly longer than mode 2. Most variables are significant (P value < 0.1) enough.
Discriminating which variable is responsible for the observed richness trend, given that a single variable exists, is problematic considering that most variables are correlated (e.g., wave stress and depth, stratification and temperature).
Most variables are self explanatory.
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Inter-rater agreement for most variables was excellent (ICC > 0.80).
Spatial autocorrelation of most variables was displayed over ranges of 250 695 m.
Most variables were characterized by a high variation between d 7 antepartum and d 7 postpartum.
Most variables were normally distributed, but serum insulin, serum TG, PAI-1, hsCRP, total lean mass and PUFA (g) required logarithmic transformation.
As most variables were not normally distributed, univariate analyses were performed using the Wilcoxon rank sum test for continuous variables and Fisher's exact test for categorical variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com