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Variables removed from the model when a backward stepwise method was performed and those known to be potential cofounders or factors associated with knowledge from previous studies were tested for confounding, any of the mentioned variables that had a more than ten percentage change (>10%) in the crude and adjusted odds ratio was considered a confounder.
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The effects of variables such as pH (2.0 10.0), sonication time (1 5 min), adsorbent mass (0.005 0.025 g) and MB and MG concentration (4 20 mg L−1) on their removal efficiency was studied dy central composite design (CCD) to correlate dyes removal percentage to above mention variables that guides amongst the maximum influence was seen by changing the sonication time and adsorbent mass.
Finally, we used the above-mentioned variables that were significantly associated with 8-oxodG and pregnancy outcomes in a multivariate logistic regression analysis.
Penetration test showed that among three mentioned variables, biopolymers ratio had a dominant effect on texture.
In model 3 all mentioned variables are regressed together; results show that only rTMS as add-on therapy still positively associates with the outcome (B = 0.53, p = 0.02), although there is still a trend for a negative association for treatment resistant variable (B = −0.31, p = 0.08), meaning that such variables still modify placebo response even when controlled by other significant variables.
After rewarming all the above mentioned hemodynamic variables that were depressed during 25°C remained reduced, except for CO that returned to pre-hypothermic values due to an increase in heart rate.
The results found that among stakeholder groups' FCM model, 'air pollution' and 'water pollution' are the most frequently mentioned variables, while 'health effects' and 'expansion of related industries' are the core variables.
These mentioned variables are frequently calculated using similar methods.
None of the other above mentioned variables reached significance.
There is a divergence too in some of the factors affecting recovery that Emma mentions, external variables that Julie does not refer to: economic insecurity and the pressures of stigmatization.
A feature shared by LPC and all its extensions so far mentioned is that the only variables that occur in quantifiers are individual variables.
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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