IEEE

Maximum Likelihood for Logistic Regression Model With Incomplete and Hybrid-Type Covariates

Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...
Scientific Research Publishing

Aki, K. (1965). Maximum Likelihood Estimate of Bin the Formula Log N = A-Bm and Its Confidence Limits. Bulletin of the Earthquake Research Institute, 43, 237-239.

ABSTRACT: This work presents the analyses of earthquake magnitude scales and seismicity parameters across the Nubian-Eurasian Plate Boundary Region. We developed magnitude conversion models using ...
ascopubs.org

Generative artificial intelligence (AI) for predictive analysis: Can AI estimate the likelihood of sentinel lymph node metastases in early-stage breast cancer?

Unveiling the unheard narratives: Integrating narrative medicine into electronic medical records for non–English-speaking cancer patients. This is an ASCO Meeting Abstract from the 2025 ASCO Annual ...
Hosted on MSN

Build Logistic Regression From Scratch In Python – You Won'T Believe How Easy It Is!

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 ...