Sentence examples for both standard logistic regression from inspiring English sources

Table  1 shows results from both standard logistic regression models (unadjusted and adjusted) and the geo-additive semi-parametric mixed model for all women of reproductive age.

Table  2 shows results from both standard logistic regression models (unadjusted and adjusted) and the geo-additive semi-parametric mixed model for only young women of reproductive age.

Results from both standard logistic regression and multivariate Bayesian geo-additive analyses (right-hand column) support the role of women education and the place of residence as risk factors for short birth intervals for all women but not for younger women.

Both g and b can be estimated using standard logistic regression software, and the estimate of b is an estimate of the effect of the phenotype on log π 1 - π.

When standard logistic regression technique is employed for both equations log of odd ratio in favour of the event under consideration becomes the dependent variable in both equations.

However, repeated-measures designs are not readily handled in standard logistic regression.

Our first classifier is a standard logistic regression classifier trained on tweets.

Finally, three important extensions of standard logistic regression are briefly reviewed: conditional logistic regression, exact logistic regression, and logistic regression for clustered data.

A hybrid model consisting of logistic regression model, Markov chain (MC), and cellular automata (CA) was designed to improve the performance of the standard logistic regression model.

Model comparison indicates that the full Bayesian random parameters logistic regression approach is statistically superior to the standard logistic regression model.

Likelihood ratio (LR) test compares the given models with the corresponding models fit by standard logistic regression; its p-value is reported.