Objectives This study aims to examine the association of time to recovery between early versus late presentation to ...

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 ...

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 ...

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 ...

Despite an increase in the use of medication for opioid use disorder in older adults from 2017 to 2022, disparities persist; ...

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

Elevated CAR has been associated with adverse outcomes in many conditions, including cancer, sepsis, COVID-19, and cardiovascular diseases. A higher C-reactive protein to albumin ratio (CAR) is ...

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

Risk factors associated with extrapulmonary TB among US veterans include non-Hispanic Black race, diabetes, HIV infection, and severe kidney disease.