Digging through the data to find chart success.

College-level statistics courses are evolving from formula-heavy lectures to hands-on, real-world applications. From STA2023 syllabi to open case studies, students now practice statistical thinking ...

Objectives To map the landscape of decentralised clinical trials (DCTs) by summarising characteristics, methods and reported challenges of published DCTs. Design Scoping review, reported according to ...

Background Despite the widespread use of heparin during and following endovascular procedures in the management of aneurysmal subarachnoid hemorrhage (SAH) patients, limited research has explored the ...

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

Data quality is critical for successful data processing, with robust statistics essential for handling outliers and ensuring accurate representation. The standard deviation is sensitive to outliers, ...

Rationale The COVID-19 pandemic prompted the implementation of multiple public health strategies to encourage vaccine uptake. Among these, digital media campaigns, community outreach programmes and ...

Background Neurointerventional procedures rely on a variety of angiographic devices and disposables. Despite the increasing frequency of these procedures, systematic data on the scale and nature of ...