New Logistic Regression Models Revolutionize Data Analysis and Sample Size Issues
The article discusses different types of logistic regression models and methods for analyzing data. It covers multinomial and ordinal logistic regression models, as well as techniques for handling correlated data. The researchers also explore exact methods for fitting logistic regression models and address sample size considerations. Overall, the article provides insights into various aspects of logistic regression analysis.