There is a dose-response relationship between maternal body mass index (BMI) and perinatal ischemic stroke (PIS) risk ...

Linear multiplicative models are popular tools for analyzing data with positive responses. However, the linear structure of ...

A simple linear regression model does the same – applying weighted sums to input variables to produce an output. But the AI Act would classify the latter as traditional software, while a ...

Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States ...

Benjamin Cowen notes that Ethereum’s price trajectory suggests it may have reached its lower logarithmic regression trend line. Ethereum's supply has returned to pre-merge levels, aligning with ...

Employing a joint regression model, regression analysis was undertaken to dissect the disease burden. To calculate the EAPC, a logarithmic linear regression model was adopted, with the natural ...

Linear regression was used to model KAM, and logistic regression was used to examine high (>25.25 Nm of KAM) versus low KAM as surrogate for ACL injury risk. Results The most parsimonious model ...

Linear regression was used to model the effect of socioeconomic deprivation (quintiles) on opioid prescribing while accounting for population demographics and the prevalence of specific health ...

Linear regression was used to study associations between match load and injury rates and team performance. Results Team performance showed no association with match load, or recovery days prior to ...