Significados de penalize logistic em inglês

Prediction models for AL were built for each postoperative day using multivariate penalized logistic regression.

Computable phenotype algorithms were developed by fitting penalized logistic regression models to a physician-annotated training set.

A penalized logistic regression model was constructed to identify relationships between postoperative complications and covariate risk factors.

When combined with additional codified features, a penalized logistic regression model was trained to classify the target phenotype.

We applied penalized logistic regression to ascertain the top SNPs that contribute together to CAD susceptibility in Taiwan.

Once the most potent marginal predictors are identified, their two-way and higher order interactions can also be examined by lasso penalized logistic regression.

Main outcomes and measures: We used penalized logistic regression and 1-sided gene-burden analyses to test for association of rare, segregating damaging variants with BD.