Sentence examples for multinomial logistic regression from inspiring English sources

"multinomial logistic regression" is a correct and usable phrase in written English.
It is used in statistics to describe a class of regression models in which the dependent variable has more than two nominal (unordered) categories. For example: The researchers conducted a multinomial logistic regression to predict which of three different advertisement types would be most effective for their target demographic.

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We evaluated for association of perinatal factors using time-oriented, multinomial logistic regression models.

Risk factors for infection were analyzed using multinomial logistic regression.

Data were analysed using binary and multinomial logistic regression.

Multinomial logistic regression indicated that there is no statistical difference between groups (Wald chi-square = 5.18, p = 0.8).

For BMI, survey-weighted multinomial logistic regression models were fit with BMI category as the outcome and LCS category as the independent variable.

Next, multinomial logistic regression is applied on the dataset of the initial conditions in relation to the ensuing changes.

Multinomial logistic regression was used to determine differences in predictive value of individual, familial and economic variables across clusters.

Multivariable multinomial logistic regression was performed to identify factors associated with underweight and overweight.

Data were analyzed using growth mixture modeling (GMM) and multinomial logistic regression.

Quantitative data were analyzed using descriptive statistics, explanatory analysis, and multinomial logistic regression.

Multinomial logistic regression models were created and compared using Akaike Information Criterion.

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