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During the process of constructing the final model, the resulting variables of the previous groups were kept even when they lost their significance.
We have shown that the association of these variables with QoL is mediated by depression and self-concept in constructing the final model.
For simplicity, before constructing the final model, we assessed the time lags in the relationships between the outcome and each independent variable separately.
For the purpose of constructing the final model, to be able to compute adult weight gain for women who failed to remember their weight at age 18 years (15 %), this variable was imputed as the median weight at age 18 reported by women drawn from the same screening center, height quintile and age group.
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Manual backward stepwise regression was used to construct the final model.
The primary sequence alignment of hTLR10 and its template was used to construct the final model (Figure 1).
Out of 155 residues of the construct, the final model does not include the 9 N-terminal residues including the GSHM cloning artifact.
We constructed the final model using the derivation cohort.
A backward elimination method was used to construct the final model.
We constructed the final model by using both forward and backward stepwise procedures.
To construct the final model, we set to zero the coefficient of a non-significant covariate on a transition rate.
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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