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The phrase "achieved using regression" is correct and usable in written English.
It can be used in contexts where you are discussing results or outcomes that were obtained through regression analysis or modeling techniques.
Example: "The accuracy of the predictions was achieved using regression techniques that analyzed historical data."
Alternatives: "obtained through regression" or "realized by means of regression".
Exact(1)
A clear group narrative is created by constraining the Bayesian prior to group survey respondents based on the predominance of a single apposing transport behaviour, while a detailed insight into the behavioural complexity of each group is achieved using regression on multiple additional survey questions.
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Greater flexibility can be achieved using semiparametric regression models, like spline regression, generalized additive models, or partial linear models; see the texts by Ruppert et al. [37] and Härdle et al. [38] for thorough treatments of semiparametric regression modeling.
The results obtained with the SVM and ANFIS models for ETo estimation were better than those achieved using the regression and climate based models and confirmed the ability of these techniques to provide useful tools in ETo modeling in semi-arid environments.
As with crop remain age and heterozygosity, bias reduction in genetic distances could be achieved using quantile regression (giving emphasis to long genetic distances by setting τ to a low value).
Setting (α = 0.5) will reduce sparsity achieved using lasso regression while still panelizing correlated predictors.
For binary data, proportions were compared using χ tests; adjustments for confounders and estimation of ORs were achieved using logistic regression.
The random forest algorithm was uniquely successful in generating predictive signatures for cytotoxic drugs, a result that was not achieved using linear regression[ 7].
The selection of the best miRNA panel was achieved using logistic regression, and the areas under the curve (AUCs) were calculated to assess the panel's diagnostic performance.
Multivariable modelling was achieved using multiple linear regression.
Normalization of data was achieved using the linear regression method (Lowess) in GeneSpring GX 12.6 (Agilent Technologies).
This was achieved using a mixed effects regression model, which estimates 'fixed' coefficients β for covariates at the patient level and at the family practice level i in FP j (Xij) and 'random' coefficients for the FPs j (θj).
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CEO of Professional Science Editing for Scientists @ prosciediting.com