Sentence examples for using separate logistic regression from inspiring English sources

Odds ratios were calculated using separate logistic regression models for each smoking exposure, while controlling for other tobacco use, county of residence, race, age, gender, and body mass index (BMI).

Any-stage AKI and stage-3 AKI were modelled using separate logistic regression models.

The association between sociodemographic variables and all three breastfeeding outcomes was investigated using separate logistic regression models.

The effect of parental occupation and family affluence on episodes of drunkenness was assessed using separate logistic regression models controlling for age.

Multivariable analyses were conducted using separate logistic regression models for each outcome, with sex as the main independent variable adjusted for covariates.

Finally, we assessed the relation of maximal mean daily dose of insulin in the course of pregnancy and HOMA-IR index values using separate logistic regression models.

For the explorative assessment of predictors for response, we will use separate logistic regression models for each predictor.

For conditions originating in the perinatal period and for malformations, we used separate logistic regression models to estimates associations with maternal life stress and emotional stress.

We used separate logistic regression models to estimate the association between each exposure and high anxiety symptoms (Crown-Crisp index phobic anxiety scale score ≥6).

For those with no missing data, all covariates were used; whereas for those with missing data (for body mass index, systolic blood pressure, or smoking), we used separate logistic regression models, which excluded the missing covariates, to estimate propensity scores.

Based on these considerations, we used separate logistic regression analysis models to examine cumulative lifetime home and workplace ETS exposure, rather than including both exposures in the same model.