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The phrase "a regular logistic regression model" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or machine learning when discussing a specific type of regression model.
Example: "In our study, we employed a regular logistic regression model to analyze the relationship between the independent variables and the binary outcome."
Alternatives: "a standard logistic regression model" or "a conventional logistic regression model".
Exact(2)
Therefore, a regular logistic regression model was used.
Furthermore, the LR test was not statistically significant (P>0.99) comparing models with one or both random intercepts compared to a regular logistic regression model.
Similar(58)
For this, we applied a logistic regression model with regular fast food consumption vs. no regular fast consumption as a dichotomous predictor variable.
We took two approaches for each side effect model: a multivariate logistic regression model that included all variables, and a machine learning logistic regression model with feature selection.
A multivariable logistic regression model assessed factors associated with delirium.
The use of a binary logistic regression model revealed two SNPs that are predictive of AIEC phenotype (Table 5).
A multivariable logistic regression model was used to calculate ORs for various demographic and ECG characteristics.
The data were analysed using a mixed logistic regression model.
A penalised logistic regression model was created for blonde colour, including all lead variants for blonde vs. black and brown hair colour.
NAFLD was determined by a previously described algorithm and a multivariable logistic regression model determined predictors of CVD.
A multivariable logistic regression model was estimated to identify factors associated with providing consent.
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