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Only variables significant in initial modelling were entered into model 1 (Tables 2 and 3).
The same variables as were used in prognostic modelling were entered into a linear regression model on the logarithm of length of stay.
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This was the case both when all models were entered into the analysis and when the two models where the layer extended straight down were excluded.
Variables that were significantly associated with rescue analgesia use in a single-explanatory-variable logistic regression model were entered and further analyzed in the multi-explanatory-variable logistic regression model.
Finally, the simulated GWQI indices using the Fuzzy Network-CANFIS model were entered into GIS, and hence groundwater quality map (raster layer) based on the results of the network simulation was earned.
The initial data inputs for the model were entered as a proportion of the birth cohort exposed to the risk of developing rotavirus diarrhoea for the time period from birth to the age of 5 years.
Model were entered into the comparison study.
Parameter estimates from contrasts of the canonical HRF in single subject models were entered into random-effects analysis.
All variables with a p value less than 0.05 for likelihood ratio test in univariate models were entered into multivariate logistic regression models.
All variables in this model were entered in one step.
Covariates found to be significant in the univariable models were entered into a multivariable 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