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"main effect variables" is a correct and usable phrase in written English.
It is commonly used in statistical and scientific writing to refer to independent variables or factors that have a significant impact on the dependent variable. Example: The study analyzed the main effect variables of income, education level, and gender on job satisfaction. The results showed that income had the strongest effect on job satisfaction, followed by education level and then gender.
Exact(13)
Because the constant a has all its main effect variables in common with the hyperbolic constant, we used the same design table for their experiments.
Among the three main effect variables, the effect of inclination angle is the most significant, but their interaction effects are not significant.
Interaction terms were constructed from main effect variables and tested for significance.
The coefficients of the main effect variables (time, squared time, CDR sum of boxes, and interaction between time and CDR sum of boxes) unadjusted for other independent variables.
Effect modifications were evaluated by stratification, statistical interaction was assessed by including main effect variables and their product terms in the logistic regression model.
The initial models were fit with main effects for site, gender, daily injection, and years injecting, and two-way interactions between site and each of the other three main effect variables.
Similar(47)
The main effect variable was p-BNP.
The main effect variable was u-NKCC2.
CH2O was used as the main effect variable.
Interactions between the main effect variable and adjusted covariates were tested at a significance level of 0.01.
The main effect variable was u-AQP2, and other effect variables were u-Osm, p-AVP, and u-c-AMP, UV and CH2O.
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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