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 ...

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 ...

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 ...

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, ...

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 ...