Hypothesis testing using R
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 minimalist...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Eco-Vector
2023-07-01
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| Series: | Digital Diagnostics |
| Subjects: | |
| Online Access: | https://jdigitaldiagnostics.com/DD/article/viewFile/121368/pdf |
| _version_ | 1827818474888495104 |
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| author | Ivan A. Blokhin Maria R. Kodenko Yuliya F. Shumskaya Anna P. Gonchar Roman V. Reshetnikov |
| author_facet | Ivan A. Blokhin Maria R. Kodenko Yuliya F. Shumskaya Anna P. Gonchar Roman V. Reshetnikov |
| author_sort | Ivan A. Blokhin |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T00:55:16Z |
| format | Article |
| id | doaj.art-8a58bffe95e5430d87ac4ac489fc246e |
| institution | Directory Open Access Journal |
| issn | 2712-8490 2712-8962 |
| language | English |
| last_indexed | 2024-03-12T00:55:16Z |
| publishDate | 2023-07-01 |
| publisher | Eco-Vector |
| record_format | Article |
| series | Digital Diagnostics |
| spelling | doaj.art-8a58bffe95e5430d87ac4ac489fc246e2023-09-14T14:08:01ZengEco-VectorDigital Diagnostics2712-84902712-89622023-07-014223824710.17816/DD12136876469Hypothesis testing using RIvan A. Blokhin0https://orcid.org/0000-0002-2681-9378Maria R. Kodenko1https://orcid.org/0000-0002-0166-3768Yuliya F. Shumskaya2https://orcid.org/0000-0002-8521-4045Anna P. Gonchar3https://orcid.org/0000-0001-5161-6540Roman V. Reshetnikov4https://orcid.org/0000-0002-9661-0254Moscow Center for Diagnostics and TelemedicineMoscow Center for Diagnostics and TelemedicineMoscow Center for Diagnostics and TelemedicineMoscow Center for Diagnostics and TelemedicineMoscow Center for Diagnostics and TelemedicineCompetencies 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.https://jdigitaldiagnostics.com/DD/article/viewFile/121368/pdfmedical datapositrrstudiostatistical analysistutorial |
| spellingShingle | Ivan A. Blokhin Maria R. Kodenko Yuliya F. Shumskaya Anna P. Gonchar Roman V. Reshetnikov Hypothesis testing using R Digital Diagnostics medical data posit r rstudio statistical analysis tutorial |
| title | Hypothesis testing using R |
| title_full | Hypothesis testing using R |
| title_fullStr | Hypothesis testing using R |
| title_full_unstemmed | Hypothesis testing using R |
| title_short | Hypothesis testing using R |
| title_sort | hypothesis testing using r |
| topic | medical data posit r rstudio statistical analysis tutorial |
| url | https://jdigitaldiagnostics.com/DD/article/viewFile/121368/pdf |
| work_keys_str_mv | AT ivanablokhin hypothesistestingusingr AT mariarkodenko hypothesistestingusingr AT yuliyafshumskaya hypothesistestingusingr AT annapgonchar hypothesistestingusingr AT romanvreshetnikov hypothesistestingusingr |