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 ...

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

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

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 “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 ...

Patients with CKD who use antiresorptive drugs for tumor-related disorders or oral corticosteroids may be at increased risk for osteonecrosis of the jaw.