Sentence examples for binary logistic regression method from inspiring English sources

Statistical analyses were performed and binary logistic regression method adjusted to possible confounding variables.

In addition to MDR analysis, the parametric binary logistic regression method was applied.

The POM gives a little more information than the binary logistic regression method, which applies when we have a categorical response of the simplest possible form dichotomous.

Previously, we analyzed the correlation of the peaks selected by ClinProTools software and substituted each peptide into a binary logistic regression (method "Enter") for their contribution to our model (data not shown).

To further analyze and determine the factors influencing CHS workers' work passion, we analyzed the significantly related factors (p < 0.05) described in the preceding analysis (Pearson chi-square test) by using binary logistic regression method.

Since many independent factors are related to the outcome of IVF or ICSI treatment, such as the sperm parameters mentioned above, a binary logistic regression method was used to evaluate the odds of chromosomal hetermorphism expression.

Genotypic analysis was performed using R 2.15.2 and SNPassoc package (http://www.r-project.org) [ 78] that implements binary logistic regression methods under five different genetic models.

Binary logistic regression (enter method) was used to identify predictors of frustration at being unable to provide the care to patients with advanced cancer that they would like to provide.

Variables found to significantly differentiate between the two groups in bivariate models were then entered into binary logistic regression model (using method of forced entry).

The binary logistic regression with "enter" method was used to evaluate if hypovitaminosis D was an independent factor of back pain.

Binary logistic regression (forward stepwise method) was conducted, using SPPS v14, to explore the effect of variables demonstrated to be significantly associated with the outcomes of interest (knowledge, attitude) in the univariate analyses.