Norman E. Breslow, Richard Holubkov, Maximum Likelihood Estimation of Logistic Regression Parameters Under Two- Phase, Outcome-Dependent Sampling, Journal of the Royal Statistical Society.

This is a preview. Log in through your library . Abstract Maximum likelihood estimation of the parameters of the binary logistic regression model for $\pr(H\mid x)$ is discussed with separate ...

The data doctor continues his exploration of Python-based machine learning techniques, explaining binary classification using logistic regression, which he likes for its simplicity.

Learn how to implement Logistic Regression from scratch in Python with this simple, easy-to-follow guide! Perfect for beginners, this tutorial covers every step of the process and helps you understand ...

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 ...