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Elasticity modelling identified a 10% increase in overall density at wave one was associated with an approximately 17% increase in odds of adolescent alcohol consumption at wave two.
Although regression modelling identified a positive interaction between ROK inhibition and septic shock supporting that the effect of ROK inhibition is lessened in the presence of septic shock, this was non-significant (p = 0.312).
Multivariable regression modelling identified a number of variables associated with ownership of different pets and the strength of attachment to the child's favourite pet.
Forward linear regression modelling identified a significant inverse relationship between passive mid-range knee stiffness and symptoms of knee instability (r = 0.27; P < 0.05): reduced stiffness was indicative of more severe instability symptoms.
Multinomial logistic modelling identified a significant contribution from AJCC stage, WHO grade, Ki-67, and octreoscan positivity.
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Second, a structural equation modeling identified a significant model that aligns with MVP theory's constructs.
The prediction model identified a ROSC event before ECPR as a predictor of survival in ECPR.
Results from hierarchical linear analysis models identified a significant effect for privatization while controlling for a major alternative explanation.
Scaffold analysis and molecular docking of the compounds used in the QSAR model identified a potential chemical scaffold.
Our pharmacophore model identified a number of potential lead compounds from which we selected 11 compounds to evaluate.
While our model identified a number of factors important in describing household food insecurity, it explained only about 10%% of the variance.
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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