Controls were matched to cases based on gender, age (±5 years) and date of presentation ... The results of the stepwise multivariate logistic regression are presented in table 3. Variables considered ...

LA JOLLA, Calif., May 06, 2025--(BUSINESS WIRE)--Equillium, Inc. (Nasdaq: EQ), a clinical-stage biotechnology company leveraging a deep understanding of immunobiology to develop novel therapeutics ...

In this paper, we proposed a framework, called Mulr4FL, for fault localization using a multivariate logistic regression model that combined both static and dynamic features collected from the program ...

Pharvaris, a biopharmaceutical company based in Zug, Switzerland, announced the acceptance of multiple abstracts for presentation at three significant upcoming congresses focusing on angioedema ...

Duolingo announced plans this week to replace contractors with AI and become an “AI-first” company — a move that journalist Brian Merchant pointed to as a sign that the AI jobs crisis “is ...

By combining some of the building blocks for our decision tree classification protocol, we also improve previously proposed solutions for classification of support vector machines and logistic ...

Figure 1 Alternative logistic regression models with odds ratio (OR) per 0.10 units of increase in the frailty index. Alternatively, ordinal logistic regression can be used. It comes in several ...

A multivariate logistic regression model was constructed to identify the risk factors associated with depressive symptoms in this group. Finally, based on the identified risk factors for depressive ...

Figure 3 shows the ROC curves of the multivariable logistic regression models for predicting 1-year mortality. Model-1 comprises a multivariable model consisting of pre-PNI, post-PNI, EuroSCORE II, ...