Examples of 'regression was used' in a sentence

Meaning of "regression was used"

regression was used: This phrase indicates that regression, a statistical method used to analyze the relationship between variables, was applied in a particular situation or study to understand the data better

How to use "regression was used" in a sentence

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Advanced
regression was used
A logistic regression was used for multivariate analysis.
To evaluate the digestion time on the different sampling days a linear regression was used.
Linear regression was used on all appropriate data.
To avoid overfitting, random forest regression was used.
Poisson regression was used to evaluate determinants of dyslipidemia.
In the multivariable analysis, binary logistic regression was used.
Logistic regression was used to describe multivariate associations.
In both approaches, logistic regression was used.
Cox regression was used for multivariate analysis.
For correlation with age, linear regression was used.
Forward stepwise regression was used by the researchers.
Regression was used to determine the correlation between spinnability and viscoelasticity.
Multinomial logistic regression was used to determine the.
The regression was used to confirm the relationship between the surveyed variables and the groups.
Multinomial logistic regression was used for the analysis.

See also

In addition, binary mediation analysis with logistic regression was used.
Linear regression was used to draw the line.
For multivariate analysis between the two groups, logistic regression was used.
A km regression was used as before and a km value was calculated.
Finally, unconditional logistic regression was used to adjust the odds ratio.
Cox regression was used to assess the relationship.
To take account of confounding co-variables, logistic regression was used to validate the results.
Logistic regression was used to model this parameter.
To assess genetic and environmental influence together, the multivariate logistic regression was used.
Logistic regression was used to identify risk factors.
To assess a possible confounding factor among age, BNP, and outcome, logistical regression was used.
Logistic regression was used to analyze associations.
In the multivariate analysis, binary logistic regression was used with dichotomized TC as an outcome.
Poisson regression was used to estimate the association strength.
Ordinary Least Squares regression was used in conducting the analysis.
Logistic regression was used to identify a set of predictors of repetition.
Cox proportional - hazard regression was used for multivariate analysis.
Logistic regression was used to adjust for confounding variables.
In the multivariate analysis, poisson regression was used following a pre-established hierarchical model.
Linear regression was used as the analysis method.
Partial least squares ( pls ) regression was used in order to build the models.
Logistic regression was used to model the probability of being contacted.
Then, stepwise backward logistic regression was used in the construction of multivariate models.
Linear regression was used to assess differences among means.
A I / concentration weighted linear regression was used for the quantitation of C10.
Logistic regression was used to determine the independent predictors of death.
Non-conditional hierarchical logistic regression was used for multivariate analysis in SPSS version 10.0.
Poisson regression was used in each model in the multivariate analysis.
Multiple logistic regression was used for multivariate analysis.
Linear regression was used to evaluate the association between outcomes and independent variables.
Multinomial logistic regression was used in the multivariate analysis.
Poisson regression was used to construct a model for the observed associations.
Parametric survival regression was used to model life expectancy.
Linear regression was used to examine the extent of the correlation.
Binary logistic regression was used in the other situations.

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Examples of using Regression
Your regression models are the stuff of legend
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