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The story has the feel of being built backward from the climax; in it, a once-idealistic and iconoclastic law firm, Donne and Russo, has grown to such prominence that its character is being threatened.
I liked it when I wrote about it, then realized it was built backward there was a trick ending the author thought of before she wrote the book.
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The story of sudden and corrosive distrust appears simple and straightforward, but Haigh seems to have built it backward, delivering only enough information to lead relentlessly to its foreordained conclusion.
Linear regression analyses built by backward elimination and model refinement on the basis of the adjusted R 2 were carried out to identify the variables which explained best the variance of burden and coping strategies.
The multivariable models were built using backward selection according to the likelihood ratio.
Additionally a multivariate logistic model was built using backward elimination and forward selection.
Multivariate logistic regression models were built using backward selection with a p value of 0.05 to stay in the model.
A p value ≤0.15 was used in the single-variable analysis to select variables for the multivariable model built in backward stepwise fashion.
All predictors with P < 0.2 in the univariable model were maintained for the multivariable model, which was built stepwise backward, gradually excluding non-significant variables.
Multivariable linear and logistic regression models were built using backward elimination, with the outcomes being continuous BDI scores and endorsing suicidal ideation, respectively.
Similarly we built a backward multivariate model for the DAS 28 score and its four components that were highly correlated as well.
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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