Sentence examples for a logistic regression model that includes from inspiring English sources

Multivariate logistic regression OR was determined from a logistic regression model that includes age, eGFR, and ln FGF23) as variables.

In brief, the propensity score was calculated using a logistic regression model that includes the predictor variable (ARBs) as an outcome and all baseline covariates (including sex, age, medical history, and previous drugs) as shown in Table  2.

To estimate the adjusted influenza VE, we used a logistic regression model that includes potential confounders that changed the crude OR by more than 10% and were related to both the exposure and the outcome [ 17].

The propensity score for each subject is obtained by fitting a logistic regression model that includes the predictor variable (i.e., users or non-users) as an outcome and all baseline covariates in Table 1[ 1[].

To apply this method, the propensity score for each subject was obtained by fitting a logistic regression model that includes the predictor variable (i.e., olmesartan user or candesartan user) as an outcome and all baseline covariates as shown in Table 1.

We used a logistic regression model that included all variables that were correlated significantly with abortion provision in univariate analyses.

A stepwise procedure was used to fit a larger logistic regression model that included relevant two-way interactions terms.

Results of a multiple logistic regression model that included maternal and fetal terms for the interaction between the ATCA COMT haplotype and MTHFR are shown in Table 6.

This transformed weight variable was then entered into a multivariate logistic regression model that included the PIM-2 variables.

The candidate risk factors were examined using a multivariate logistic regression model that included all the candidate risk factors.

Adjusted odds ratios were generated from a multiple logistic regression model that included all reported predictor variables.