Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors ...

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania. Design We analysed cross-sectional survey data from the 2022 Tanzania ...

AUTHORS: Wei Jiang, Xiaoqian Liu KEYWORDS: Safety Engineering, Machine Learning, Data Analysis, Artificial Intelligence JOURNAL NAME: Open Journal of Applied Sciences, Vol.15 No.5, May 19, 2025 ...

In today's data-driven world, professionals with expertise in statistical analysis and data interpretation are in high demand across various industries. Whether it's finance, healthcare, technology, ...

“Applied Multivariate Statistical Analysis” by Richard A. Johnson and Dean W. Wichern is a good text on multivariate analysis. It is a task appropriate for data scientists who work with big and ...

With single-gene based drug target identification methods getting saturated, the scientific world is venturing beyond traditional approaches to enhance early drug discovery. We explore how combining ...

Using multivariate data analysis, the behavioral profile of a group exposed to the same phenomenon can be described based on all variables and their interactions (Mukasa et al., 2022). Thus, multiple ...

Contribute to hairo1421/Formulario-libro-Applied-multivariate-statistical-analysis development by creating an account on GitHub.

Multivariate statistical analysis techniques are applied to insulin infusion set failure detection (IISF), a challenging problem faced by individuals with type 1 diabetes that are on continuous ...

Even a change in the correlation of those parameters may indicate a problem. For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis ...