In epidemiological studies, continuous covariates often are measured with error and categorical covariates often are misclassified. Using the logistic regression ...

The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

In recent columns we showed how linear regression can be used to predict a continuous dependent variable given other independent variables 1,2. When the dependent variable is categorical, a common ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.

Background: Aspergillus fumigatus sensitized asthma (AFSA) is associated with severe exacerbations and progressive lung damage; however, diagnosis remains challenging in resource-limited settings ...

Generally, the process for fitting a logistic regression model using scikit-learn is very similar to that which you previously saw for statsmodels. One important exception is that scikit-learn will ...

This project detects Structured Query Language (SQL) injection attempts in text inputs using a hybrid approach: (1) A classical model that learns character-level n-gram patterns via ...