Linux Journal

Linux Binary Analysis for Reverse Engineering and Vulnerability Discovery

In the world of cybersecurity and software development, binary analysis holds a unique place. It is the art of examining compiled programs to understand their functionality, identify vulnerabilities, ...
Financial Post

Binarly Secures Patent for Machine Learning Technique to Optimize Large-Scale Binary Analysis

SANTA MONICA, Calif. — Binarly, a leading innovator in software supply chain security, today announced that it has been granted U.S. Patent No. US 12,236,262 B1 for its groundbreaking “Machine ...
JSTOR Daily

Bivariate Binary Data Analysis with Nonignorably Missing Outcomes

One of the objectives in the Northern Manhattan Stroke Study is to investigate the impact of stroke subtype on the functional status 2 years after the first ischemic stroke. A challenge in this ...
JSTOR Daily

Doubly Robust Estimates for Binary Longitudinal Data Analysis with Missing Response and Missing Covariates

Longitudinal studies often feature incomplete response and covariate data. Likelihood-based methods such as the expectation-maximization algorithm give consistent estimators for model parameters when ...
eLife

Determining fragility and robustness to missing data in binary outcome meta-analyses, illustrated with conflicting associations between vitamin D and cancer mortality

This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...