A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

Novel nomogram models predict early neurological deterioration and 90-day outcomes in AIS patients treated with IV ...

Standardized coefficients in logistic regression analysis have the same utility as standardized coefficients in linear regression analysis. Although there has been no consensus on the best way to ...

In a logistic regression model when covariates are subject to measurement error the naive estimator, obtained by regressing on the observed covariates, is asymptotically biased.

Objectives This study aimed to estimate the prevalence of depression and anxiety and associated risk factors among non-communicable diseases (NCD) clinic attendees in rural Rwanda. Design ...

Linear regression analyzes two separate variables in order to define a single relationship. In chart analysis, this refers to the variables of price and time.