Your English writing platform
Discover LudwigSuggestions(5)
Exact(5)
As we wanted to account for human socioeconomic and urbanization factors in all steps of the model, we retained human demographic PC1 and PC2 throughout the model selection procedure but otherwise removed the least significant predictor variable (if individual variable P>0.10) if the removal step led to a better fit according to Akaike's information criterion (AIC).
For the final model, we retained all covariates with an initial p value ≤0.15.
From this, the initial model we retained used 9 parameters (S1, P1, S2, P2, Min, Max, a, b, c).
In the internal model, we retained mental health, pain, physical role limitations and biological therapeutic use since diagnosis for further analyses.
In the external model, we retained the variables for having a job contract, being a supervisor, limitations in functioning at work, job satisfaction, work instability, heavy and demanding work, and having both physical and mental job demands for further analyses.
Similar(55)
In this two-locus model we retain the naming conventions in models 1 and 2. The fitness of the jth in the ith group is given in eq. [1].
During modeling, we retained variables with statistical significance of p<0.05, using odds ratio, with minimization of the AIC criterion.
For each of the models, we retained only those family factors that were statistically significant (p ≤ 0.05).
In such models, we retain sufficient principle component analysis (PCA) modes to cover 99%% of all shape variation.
In model 3, we retained the significant variables from model 2 and added the proximate variables.
However, because the slope of output representation within participant as a random effect did improve model fit, we retained the main effect of output representation in the final model as well.
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