The article discusses logistic regression models, which are used in biomedical research to predict outcomes with two possible results. These models rely on computer software to analyze data and identify relationships between different factors. By checking certain assumptions, researchers can determine if the model accurately represents the data. If the model fits well, it can be used to make predictions about how different variables affect the outcome. Logistic regression is commonly used in classifying data into two categories.