Exact(2)
Data were radiometrically corrected to remove variable acquisition gains, power levels, insonification area and grazing angles, whereas geometric corrections were applied to compensate for the slant range.
VNNotExist Replace by non-existing variable name D. Variable value 1. VVRemove Remove variable value 2.
Similar(58)
A stepwise selection method was then performed to remove variables from the model.
Backwards stepwise regression procedure was used to remove variables based on the exit criterion (p > 0.10) (Gartland et al. 2001).
This rich model was developed by starting with a fully saturated model, then stepwise backward selection was used to remove variables that were not statistically significant (p > 0.05).
When we refine our studies to avoid pain and distress for our animals, we also remove variables that hurt the quality of our data and make them harder to interpret.
A backward stepwise procedure was used to remove variables until all variables retained in the final model had p values <0.05.
We used p values of 0.1 to enter and remove variables from the model.
We used backward selection to remove variables not significant at the.05 level.
A backward stepwise elimination process was used to remove variables that had a p value greater than 0.05.
Stepwise backward elimination was used to remove variables from the model if their adjusted p-value > 0.05.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com