Background Studies have shown an increased risk of cardiac disease following COVID-19, but how it compares to pneumonia of ...

In matched case-control studies, conditional logistic regression is used to investigate the relationship between an outcome of being a case or a control and a set of prognostic factors. When each ...

Researchers found that moderate triclosan exposure is significantly linked to increased breast cancer risk, particularly in ...

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, Logistic Regression Using the SAS System: Theory and Application is for ...

The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital ...

Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

The following is a summary of “Simultaneous evaluation of restless leg syndrome, neuropathic pain, disease activity, and ...

The following is a summary of “Nomogram for predicting proliferative lupus nephritis in patients with low-level proteinuria,” ...

AI-driven tools harness ML algorithms to provide insights into anxiety disorders. Supervised ML models, such as logistic ...