According to the cutoff points detected, dummy variables were constructed and a new logistic regression model was fitted with those variables.
We investigated the existence of interaction and/or confusion between variables by constructing and comparing logistic regression models.
Hui AY constructed and validated a multivariate logistic regression model using body mass index, platelet, Alb, and TBIL level to predict advanced fibrosis, and the AUROC were 0.765-0.803[ 17].
Crack length versus the number of cycles curves are constructed and fitted to a modified logistic function, which enables for the calculation of the crack propagation rates and critical crack lengths from the first and second derivative of the logistic function.
We used NHANES PbD data (n = 2,065 from floors and n = 1,618 from windowsills) and covariates to construct linear and logistic regression models.
Further stepwise multivariate logistic regression was constructed and displayed in Table 4.
SEM was used when job satisfaction was represented by two second order constructs and logistic regression when individual first-order job satisfaction factors were used as independent variables in the model.
Univariate logistic regression models were constructed and used to determine risk factors associated with infection.
Because it may be appropriate to consider simultaneously the impact of multiple metals on semen quality (Jurasovic et al. 2004; Telisman et al. 2007), we also constructed full logistic and linear regression models for each semen-quality parameter when considering all metals and covariates together.
We generated descriptive statistics to characterize the study population and ED visits for DKA and constructed logistic regression models to examine associations of pager use and likelihood of ED visitation and nonelective inpatient admission from an ED for DKA.
