Objectives To develop and validate a nomogram model to predict chronic kidney disease (CKD) stages 3–5 prognosis. Design A retrospective cohort study. We used univariate and multivariate Cox ...

The logistic regression model can be represented with the following formula: Where the left side of the equation is the probability the outcome variable Y is 1 given the explanatory variables X. The ...

This can be extended to more than two explanatory variables. However, in practice it is best to keep regression models as simple as possible as it is less likely to violate the assumptions. - Multiple ...

According to a Bitcoin researcher, a quantile regression model indicates that there is a 99% percentile target for BTC at $275,000 by the end of November 2025.

We found that the graph-based predictive models (Neighbours, MB) significantly outperformed the ADO and updated BODE indices for all-cause and COPD-specific mortality (Fig. 3A). Also, the difference ...

Multivariate Cox Regression (MCR) model was used to predict the chronological age of T2DM ... as illustrated in Equations (14) and (15), respectively, at different threshold levels. This graph helps ...

In a trial of two bivalent Covid-19 boosters, effectiveness against severe infection resulting in hospitalization or death reached a level of 67.4% after 2 weeks and decreased to 38.4% after 20 weeks.

A new study investigated how logistic regression model training affects performance, and which features are best to include when examining datasets from individuals suffering from COVID-19.

Selection of FRLs using LASSO and multivariate Cox regression. (A)Eight FRLs based LASSO cross validation plot. (B) LASSO coefficient of eight FRLs in PAAD. (C) Multivariate Cox regression showing six ...