Sentence examples for derive a propensity from inspiring English sources

For this purpose, we first developed a nonparsimonious logistic regression model to derive a propensity score for patients receiving polypharmacy based on all the covariates [ 44].

Two full non-parsimonious logistic regression models were developed to derive a propensity score for breast feeding at discharge, one for each cohort.

The goodness of fit and the discrimination of the two logistic regression models used to derive a propensity score for RRT were evaluated by the Hosmer-Lemeshow (HL) test, and the c statistic (area under the receiver operating characteristics curve), respectively.

Using this framework, we derive a Propensity-Weighted Ranking SVM for discriminative learning from implicit feedback, where click models take the role of the propensity estimator.

We derived a propensity score for every patient from all the potential confounders prespecified in our primary analysis.

To address any indication bias, we derived a propensity score predicting the likelihood to receive albumin and matched 141 cases to 141 controls with a similar risk profile.

We then derived a propensity score weight: each patient was weighted with the inverse of the propensity score in the intervention group and with the inverse of one minus the propensity score in the control group.

We derived a propensity score matched cohort of ACEi/ARB users and non-users, matching each ACEi/ARB user to a non-user on a one to one basis on the following characteristics: age (± 5 years), sex, CKD, and a caliper width of ± 0.2 standard deviation of the propensity score [ 3, 38, 39].

Within this subgroup, we derived a new propensity score predictive of the use of albumin with the same defining variables that we used for the entire cohort.

We have thus set out to derive a new measure of a propensity of CpG deamination events to create binding sites that account for above factors.

In addition, from 1491 known AMPs we also derive a quantitative measure called antibacterial propensity index (API) for 20 naturally occurring amino acids, which shows a significant allometric correlation with the theoretical minimal inhibitory concentration of putative peptides against Gram-positive and Gram-negative bacteria.