BACKGROUND: Medically tailored meals (MTM) have unanswered implementation questions. Providing MTM for a specific individual, ...

Overview: EDA techniques can help you translate your data into useful and actionable insights.Discover how top analysts uncover patterns, eliminate errors, and ...

A large amount of time and resources have been invested in making Python the most suitable first programming language for ...

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 ...

aInternational Centre for Future Health Systems, University of New South Wales, Sydney, Australia bSchool of Population Health, University of New South Wales, Sydney, Australia cNuffield Department of ...

Statistical Methods Descriptive statistics were used to summarize patient tumor and gene expression data. Continuous RS results and gene scores were compared using Wilcoxon signed-rank and paired t ...

ABSTRACT: In 2023, a multivariate normality test based on a chi-square approximation was developed. This method assumes independence among Gaussian random variables, and defines the test statistic, ...

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

This research provides density functions and descriptive statistics for the distance between points for basic shapes in Cartesian space. Both Euclidean and Rectilinear Distances are determined for ...

Purpose To evaluate the presenting symptoms, and the overall survival (OS) and disease-specific survival (DSS) in patients with lacrimal gland adenoid cystic carcinoma (LGACC). Methods This ...

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 ...