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The phrase "a multivariate logistic regression model" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or research, particularly when discussing models that predict binary outcomes based on multiple variables.
Example: "In our study, we employed a multivariate logistic regression model to analyze the impact of various factors on patient outcomes."
Alternatives: "a multiple logistic regression model" or "a logistic regression model with multiple variables".
Exact(60)
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 multivariate logistic regression model indicated that combinations of criteria significantly improve the prediction of endometritis.
The overall IEQ acceptance is calculated from a multivariate logistic regression model.
A multivariate logistic regression model demonstrated a correlation between anemia and serum total CO2 (p = 0.002), BUN (p = 0.04), and creatinine (p = 0.045) at 1 year post transplant.
Risk factors were evaluated by a multivariate logistic regression model.
A multivariate logistic regression model for the outcome cesarean delivery was constructed separately for nulliparous and parous women.There were 303 women who met inclusion criteria.
A multivariate logistic regression model controlling for patient demographics and disease severity was used to identify independent associations between BMI categories and outcomes.
According to a multivariate logistic regression model, women with cervical dilatation of >/=2 cm were 4 times more likely to be delivered at <35 weeks' gestation (P <.05).
Variables with P values less than 0.05 in univariate analysis were then evaluated in a multivariate logistic regression model.
Then, we performed a multivariate logistic regression model to identify independent risk factors for ESBL-PE infection.
Additionally, all variables that were univariately associated with unscheduled return at ≤0.05 were entered into a multivariate logistic regression model.
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