In a new draft guidance issued on January 14, 2026, the FDA discussed the use of a modern statistical methodology in clinical trials designed to ...

In various contexts, for practical, philosophical, and logical reasons, there is a default assumption. In the criminal justice system, for example, someone is presumed innocent until proven guilty.

This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...

Abstract: Polarimetric synthetic aperture radar (PolSAR) sensors have emerged as a groundbreaking remote sensing technology. They enable the acquisition of the amplitude, phase, and orientation of ...

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

When it first became clear that clicks and user behavior influence rankings, many in the SEO industry dismissed it – until it became widely accepted. Today, the SEO vs. GEO debate is sparking similar ...

This paper offers a general, practical review of methods for dealing with multiple hypothesis testing, aimed at applied researchers who must draw inference on multiple outcomes, subgroups, or model ...

Drug discovery scientists develop and test complex hypotheses using data and expertise, and build workflows to support this. In this third and final article, Dr Raminderpal Singh and Nina Truter ...

Abstract: In outlier hypothesis testing, one aims to detect outlying sequences among a given set of sequences, where most sequences are generated i.i.d. from a nominal distribution while outlying ...