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The phrase "multiple logistic regression" is correct and commonly used in written English.
It is a statistical analysis method used to predict the relationship between multiple independent variables and a binary dependent variable. Example: "The researchers used multiple logistic regression to analyze the data and determine if there was a significant association between age, gender, and income level and the likelihood of developing a certain disease."
Exact(60)
Multiple logistic regression analysis was used.
Hosmer DW, Lemeshow S. A goodness of fit test for the multiple logistic regression model.
Data were analyzed using multiple logistic regression methods.
Additionally, multiple logistic regression was used for statistical feature extraction.
Chi-squared distribution and multiple logistic regression was used.
We used contingency tables and multiple logistic regression.
Bivariate and three multiple logistic regression analyses were performed with cardiovascular and diabetes deaths as the respondent variables.
Multiple logistic regression was used for multivariate analysis, adjusting for covariates.
Researchers analyzed data from 1469 respondents using chi-square and multiple logistic regression.
Multiple logistic regression procedures yielded estimated associations.
T-test, X2 and multiple logistic regression.
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