This repository contains comprehensive implementations and solutions for statistical analysis, data science methodologies, and computational mathematics assignments. Each assignment demonstrates ...
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Frequentist stats like p-values often confuse even experts. Bayesian A/B testing offers more intuitive, practical insights for UX, helping teams make better data-informed decisions under uncertainty.
We consider the high-risk melanoma trial design application in Psioda and Ibrahim (2019), and demonstrate how BayesPPDSurv can be used for coefficient estimation as ...
Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...
Background Health technology assessment (HTA) bodies evaluate the clinical and economic values of health interventions to inform healthcare decision-making. They face the challenge of lacking ...
ABSTRACT: Although the use of intermediate clinical endpoint or surrogate (correlate) of protection (CoP) has increased over the years, the validation of CoP for high efficacy vaccine trials has ...
Abstract: The remaining useful life (RUL) prediction is one of the most important tasks in the prognostics and health management of industrial equipment. The statistical model-based method is widely ...
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