Fig 1 ROC curves for clinician- and self-collected samples generated from multivariable logistic regression models predicting CIN2+ from cycle threshold values from the three channels (P1) HPV 16, (P2 ...

Multivariable logistic regression models were fitted, adjusting for age, sex, genetic ancestry, and the first 5 principal genetic components. RESULTS: Among 17 549 UK Biobank stroke survivors with ...

Influencing factors were selected using the LASSO regression model, while multivariate analysis used the logistic regression model. In the research process, we employed the χ 2 test to compare the ...

Multivariable Cox hazard regression models showed that elevated BP was associated with a high risk of bleeding events (HR: 1.885; 95% CI, 1.294 to 2.748). The multivariable logistic regression model ...

For the processing of ordered inter- and intra-block modeling (Hosmer et al., 2013), Logistic Regression analysis with backward procedure was conducted. First, intra-block analysis was performed, with ...

Multivariable analysis and logistic regression analysis were performed to determine a combined parameter—re-treatment predictor (RP). Results Among examined hemodynamic, morphological, and clinical ...

The first recorded heart rhythm did not differ between the groups. Neither did the rate of witnessed cardiac arrest or bystander CPR. The only factor significantly associated with the use of ECPR in ...

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Struggling to understand how logistic regression works with gradient descent? ... Covid cases rise across India as 2 new variants, NB.1.8.1 and LF.7, detected.

California Gov. Gavin Newsom (D) spoke to reporters after a federal judge blocked President Donald Trump from deploying the National Guard to Los Angeles. Learn how to build a multivariate linear ...