Hypothesis testing using R
| Autor: | Ivan A. Blokhin, Maria R. Kodenko, Yuliya F. Shumskaya, Anna P. Gonchar, Roman V. Reshetnikov |
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| Jazyk: | English<br />Russian<br />Chinese |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Digital Diagnostics, Vol 4, Iss 2, Pp 238-247 (2023) |
| Druh dokumentu: | article |
| ISSN: | 2712-8490 2712-8962 |
| DOI: | 10.17816/DD121368 |
| Popis: | Competencies in statistical data processing are becoming increasingly important for modern scientists. The apparent advantages of open-source software for statistical analysis are its accessibility and adaptability. The programming language and the corresponding software R, available as a minimalistic console interface or a complete development environment RStudio/Posit, have the widest possibilities among free solutions. We present a practical guide for comparing two groups using the software R. This study compares the effective doses of standard computed tomography with low-dose computed tomography for COVID-19 patients. The practical guide summarizes theoretical approaches to medical data processing and recommendations for correctly formulating research tasks and selecting optimal statistical analysis methods. The main goal of the practical guide is to introduce the reader to the Posit interface and the basic functionality of the R language by using a practical example of treating a real medical problem. The presented material can be useful as an introduction to statistical analysis using the programming language R. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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