David Tritchler, An Algorithm for Exact Logistic Regression, Journal of the American Statistical Association, Vol. 79, No. 387 (Sep., 1984), pp. 709-711 ...

Logistic regression is a statistical method used to examine the relationship between a binary outcome variable and one or more explanatory variables. It is a special case of a regression model that ...

Kin-Yee Chan, Wei-Yin Loh, LOTUS: An Algorithm for Building Accurate and Comprehensible Logistic Regression Trees, Journal of Computational and Graphical Statistics, Vol. 13, No. 4 (Dec., 2004), pp.

The LOGISTIC and PROBIT procedures can perform logistic and ordinal logistic regression. See Chapter 5, "Introduction to Categorical Data Analysis Procedures," Chapter 39, "The LOGISTIC Procedure," ...

There are many different optimization algorithms that can be used to find good values for logistic regression weights and bias. Four of the most commonly used techniques are iterated Newton-Raphson, L ...

Medical datasets often present a major challenge for machine learning models: skewness in continuous variables such as age, ...

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams ...