Sentence examples for various logistic regression from inspiring English sources

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The goodness-of-fit of the various logistic regression models was assessed according to Akaike information criteria and the Hosmer-Lemeshow test.

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Lauenborg et al. [ 51] then tested whether these 11 loci can be used to predict GDM by comparing various logistic-regression-based models, assuming the 11 loci worked in an additive manner, and computing the receiver-operator curve (ROC) area under the curve (AUC) as a metric of accuracy.

34 35 We used various (multilevel) logistic regression models to assess the impact of each a priori defined subgroup on the performance of the Wells rule.

In exploratory analyses, various multiple logistic regression models were used to explore the contribution of AKT2 haplotype to PCOS risk while simultaneously considering the risk haplotype from GSK3B (13).

In addition to summary statistics on responses for various tasks, a logistic regression was performed with age (continuous variable) and gender, as predictor variables, and responses to individual questions as the categorical ordinal response variables.

The identification process of the test battery was based on various discriminant and logistic regression analyses using both sum scores and single test items as predictors.

Lung cancer prevalence was compared among first-degree relatives of probands and of controls, taking into account various factors using logistic regression and generalised estimating equations.

Moreover, to assess age-adjusted sex differences in prevalence of various successful aging definitions, logistic regression models with age, the respective characteristic, sex and the interaction term characteristic*sex will be included in the model equation.

We examined associations of women having an abnormal cervical smear at their follow-up visit with various clinical predictors using logistic regression (Table 3).

For determination of covariates associated with the various outcomes, we performed logistic regression, with a multivariate model based on covariates identified in the univariate analysis (p-value < 0.200) using the likelihood ratio test, with probability of removal set at 0.05.

Multivariate logistic regression of various socio demographic variables was carried out to assess independent risk factors for depression.

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