Sentence examples for methods using logistic from inspiring English sources
METHODS:Using logistic regression, we investigated associations between age, gender and Townsend deprivation level for both participants and non-participants.
In terms of classification algorithms, we find that all seven algorithms perform comparably with the three sparse learning methods using logistic loss achieving slightly better performance.
A few single markers may individually produce small p values and results from some multimarker methods, using logistic regression or inferred haplotypes, may be presented as offering additional support.
Methods: Using logistic regression, we estimated associations of urinary metabolites of pyrethroid insecticides with parent-reported LD, ADHD, and both LD and ADHD in 1,659 1,680 children participating in the National Health and Nutrition Examination Survey (1999 2002).
The first group consists of two logistic regression-based methods using logistic regression-based variable selection: MLR, and pairwise coupling of 1-versus-1 logistic regression models (LR-PC).
These methods use logistic regression to provide the 'proportion of treatment effect explained' (PTEE).
The bivariate method uses logistic regression on the true positives, true negatives, false positives, and false negatives reported in the studies.
Our recently published LRpath method uses logistic regression to functionally relate the odds of gene set membership with the significance of differential expression and calculates adjusted P-values as a measure of statistical significance [ 13].
We found that Recursive Feature Elimination (RFE) is the best-performing feature selection method when using Logistic Regression (LR), Random Forest (RF), and Gradient Boosted Trees (GBT).
Factors associated with use of family planning methods were examined using logistic regression methods, while qualitative data was analyzed within a social-ecological framework using thematic analysis.
In a learning data set, statistical prediction methods were built using logistic regression and a discrete event simulation approach for a one year prediction horizon.
