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Using this as the gold standard, we noted that time-dependent Cox model analysis yielded a multivariable HR of 0.97 (0.63–1.50) while time-fixed Cox model analysis yielded a multivariable HR of 0.40 (0.40–0.40).
General mixed model analysis yielded similar results to analysis using last observation carried forward (data not shown).
Two-compartment model analysis yielded voxel-wise measurements of the rate transfer constant, Ktrans and extravascular-extracellular volume fraction, ve.
Mixed model analysis yielded significant effects for both time (P<0.001) and the treatment by time interaction (at least P<0.05) for each of the three outcome measures, indicating statistically significant differences in outcomes with the four treatments over time.
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The model and analysis yielded clear directions on protocol compliance and the importance of understanding nutrition delivery in the provision of TGC.
Repeated measurements on each side and mixed-model analysis yield unbiased estimates [ 8, 9].
Results showed that an ANN model outperformed MLR and ARIMA models where an analysis yielded 39% of cumulative errors in smallest magnitude bracket, whereas MLR and ARIMA produced 15%and25%5%.
The bully/victim categorization interaction effect with country was found not to be significant (χ[3]= 6.3, p =.098) and was thus dropped from the model The subsequent analysis yielded significant main effects for the bully/victim categorization, gender and country (see Table 4).
The model resulting from the analysis yielded ORs for CPR, the early miscarriage rate and OPR.
A given variable was entered in the final multiple logistic model if the bivariate analysis yielded a P value less than 0.1.
There were four explanatory variables in the final model (Table 5) and backward stepwise regression analysis yielded the same model.
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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