We used logistic regression to explore the association between (i ... However, not all variables, or repeat measurements of variables specified in the QRISK3 algorithm are available in UK Biobank.11 ...

Logistic regression was used to estimate associations between smoking status and confirmed SARS-CoV-2 infection, COVID-19-related hospitalisation, and COVID-19-related death. Inverse variance-weighted ...

However, Converus confirmed to us in an email that it utilizes a logistic regression algorithm to detect lies, not AI. Instead, the app only uses AI to help recognize verbal answers given during a ...

R package for variable selection via fused sparse-group lasso (FSGL) penalized multi-state models incorporating molecular data (Miah et al., 2024).

We designed and analyzed the study within a Bayesian paradigm to supplement existing knowledge. The primary analysis was a Bayesian logistic regression model with an informed focused prior from ...

Subsequently, a gene signature was developed in the training set using the least absolute shrinkage and selection operator (LASSO) regression. Based on the multivariable logistic regression ... The ...