Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...

Want to master data fitting in Python? 📊🐍 In this video, we’ll walk you through using the least squares method to fit data and graph it using Python. Perfect for data science and stats enthusiasts!

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

Abstract: This discourse investigates methodologies for the computation of quantile estimates and descriptive statistics within the framework of telemetry challenges. This undertaking gains ...

This R Markdown document performs data cleaning and exploratory analysis on the TB dataset using Python. It includes loading the dataset, basic exploration, visualization, and data preprocessing. This ...

The challenge takes place from July 11-20 in designated South Florida locations. Participants compete for prizes, including $10,000 for removing the most pythons. Pythons must be killed humanely using ...

Methods: The study was conducted in 2 phases. First, a business model taxonomy for DHTs was developed based on a systematic literature review, the analysis of 169 European real-world business models, ...

Background: Breast cancer (BC) is a significant cause of morbidity and mortality in women. Although the important role of metabolism in the molecular pathogenesis of BC is known, there is still a need ...

The bleeding edge: In-memory processing is a fascinating concept for a new computer architecture that can compute operations within the system's memory. While hardware accommodating this type of ...