Methods We defined and extracted geometrical parameters of retinal microvasculature at different retinal layers and in the foveal avascular zone (FAZ) from segmented OCTA images obtained using ...

Logistic regression is preferrable over a simpler statistical test such as chi-squared test or Fisher’s exact test as it can incorporate more than one explanatory variable and deals with possible ...

Accuracy, Precision, and F1 Score. Data practitioners can use the numbers derived from a confusion matrix to calculate their logistic regression models’ accuracy, recall, and F1 score.

The CART model demonstrated an accuracy of 65.9%, sensitivity of 51.7%, specificity of 73.2%, and an AUC of 0.705. Confirmatory analysis using multivariable logistic regression revealed that a CRP ...

“Barbie” might have dominated the box office last year, but 2023 marked a regression for women in film. According to a new report released Monday by USC’s Annenberg Inclusion Initiative and ...

In the primary multivariable logistic regression models, we adjusted for patient’s age and sex. Given that tear size was missing in a substantial number of patients, we also included a sensitivity ...

Abstract: This paper gives an overview of the two approaches to implement the Multivariate Logistic Regression. There is the Geometric way and the Probabilistic way. The aim of this paper is to ...

Additionally, a B0 field map was acquired (TR: 1270 ms; TE1: 5.0 ms; TE2: 7.46 ms) to support the off-line estimation of geometric distortion in the functional data. Behavioral data analysis. Discount ...