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Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice
BACKGROUND: Statistic scripts are often made by mathematicians and cryptic for clinicians or non-mathematician scientists. Nevertheless, almost all research projects necessitate the application of some statistical tests or at least an understanding thereof. The present review aims on giving an overv...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933355/ https://www.ncbi.nlm.nih.gov/pubmed/34750673 http://dx.doi.org/10.1007/s00423-021-02360-0 |
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author | Guglielmetti, Laura C. Faber-Castell, Fabio Fink, Lukas Vuille-dit-Bille, Raphael N. |
author_facet | Guglielmetti, Laura C. Faber-Castell, Fabio Fink, Lukas Vuille-dit-Bille, Raphael N. |
author_sort | Guglielmetti, Laura C. |
collection | PubMed |
description | BACKGROUND: Statistic scripts are often made by mathematicians and cryptic for clinicians or non-mathematician scientists. Nevertheless, almost all research projects necessitate the application of some statistical tests or at least an understanding thereof. The present review aims on giving an overview of the most common statistical terms and concepts. It further ensures good statistical practice by providing a five-step approach guiding the reader to the correct statistical test. METHODS AND RESULTS: First, different types of variables and measurements to describe a data set with means of descriptive statistics are introduced. The basic thoughts and tools of interferential statistics are presented, and different types of bias are discussed. Then in the final paragraph, the most commonly used statistical tests are described. A smartphone app accessible via QR code finally guides the reader in five steps to the correct statistical test, depending on the data used in order to avoid commonly performed mistakes. CONCLUSIONS: The five-step approach sets a new minimal standard for good statistical practice. |
format | Online Article Text |
id | pubmed-8933355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-89333552022-04-01 Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice Guglielmetti, Laura C. Faber-Castell, Fabio Fink, Lukas Vuille-dit-Bille, Raphael N. Langenbecks Arch Surg Review Article BACKGROUND: Statistic scripts are often made by mathematicians and cryptic for clinicians or non-mathematician scientists. Nevertheless, almost all research projects necessitate the application of some statistical tests or at least an understanding thereof. The present review aims on giving an overview of the most common statistical terms and concepts. It further ensures good statistical practice by providing a five-step approach guiding the reader to the correct statistical test. METHODS AND RESULTS: First, different types of variables and measurements to describe a data set with means of descriptive statistics are introduced. The basic thoughts and tools of interferential statistics are presented, and different types of bias are discussed. Then in the final paragraph, the most commonly used statistical tests are described. A smartphone app accessible via QR code finally guides the reader in five steps to the correct statistical test, depending on the data used in order to avoid commonly performed mistakes. CONCLUSIONS: The five-step approach sets a new minimal standard for good statistical practice. Springer Berlin Heidelberg 2021-11-08 2022 /pmc/articles/PMC8933355/ /pubmed/34750673 http://dx.doi.org/10.1007/s00423-021-02360-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Guglielmetti, Laura C. Faber-Castell, Fabio Fink, Lukas Vuille-dit-Bille, Raphael N. Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice |
title | Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice |
title_full | Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice |
title_fullStr | Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice |
title_full_unstemmed | Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice |
title_short | Statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice |
title_sort | statistics decrypted—a comprehensive review and smartphone-assisted five-step approach for good statistical practice |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8933355/ https://www.ncbi.nlm.nih.gov/pubmed/34750673 http://dx.doi.org/10.1007/s00423-021-02360-0 |
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