Disease duration, disease activity, osteoporosis, and CRP levels were identified as predictors of MCI among older patients with RA.

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, ...

Individuals who used smokeless tobacco and e-cigarettes had an increased risk of developing age-related macular degeneration ...

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 log-logistic distribution has a non-monotonic hazard function which makes it suitable for modelling some sets of cancer survival data. A log-logistic regression model is described in which the ...

Users of logistic regression models often need to describe the overall predictive strength, or effect size, of the model's predictors. Analogs of R² have been developed, but none of these measures are ...

Combining ultrasound with manometry improves diagnosis of obstructive defecation syndrome in women, offering clearer insights ...