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Biostatistics as a Tool for Medical Research: What are we Doing Wrong?
As the data resulting from modern clinical research are astonishingly complex, statistics constitute an integral component of the research project, from the study conception and design to the reporting of the results. At the same time, the Medical Literature is not immune to statistical pitfalls. In...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Mediterranean Journal of Rheumatology (MJR)
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241663/ https://www.ncbi.nlm.nih.gov/pubmed/32467869 http://dx.doi.org/10.31138/mjr.30.4.196 |
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author | Tsiamalou, Paraskevi Brotis, Alexandros |
author_facet | Tsiamalou, Paraskevi Brotis, Alexandros |
author_sort | Tsiamalou, Paraskevi |
collection | PubMed |
description | As the data resulting from modern clinical research are astonishingly complex, statistics constitute an integral component of the research project, from the study conception and design to the reporting of the results. At the same time, the Medical Literature is not immune to statistical pitfalls. In the following lines we identify eleven common statistical mistakes, elucidate their effects on the study credibility, and provide tips and tricks to avoid them. |
format | Online Article Text |
id | pubmed-7241663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Mediterranean Journal of Rheumatology (MJR) |
record_format | MEDLINE/PubMed |
spelling | pubmed-72416632020-05-27 Biostatistics as a Tool for Medical Research: What are we Doing Wrong? Tsiamalou, Paraskevi Brotis, Alexandros Mediterr J Rheumatol Commentary As the data resulting from modern clinical research are astonishingly complex, statistics constitute an integral component of the research project, from the study conception and design to the reporting of the results. At the same time, the Medical Literature is not immune to statistical pitfalls. In the following lines we identify eleven common statistical mistakes, elucidate their effects on the study credibility, and provide tips and tricks to avoid them. The Mediterranean Journal of Rheumatology (MJR) 2019-12-31 /pmc/articles/PMC7241663/ /pubmed/32467869 http://dx.doi.org/10.31138/mjr.30.4.196 Text en © 2019 The Mediterranean Journal of Rheumatology (MJR) http://creativecommons.org/licenses/by/4.0/ This work is licensed under and Creative Commons Attribution-NonCommercial 4.0 International License. |
spellingShingle | Commentary Tsiamalou, Paraskevi Brotis, Alexandros Biostatistics as a Tool for Medical Research: What are we Doing Wrong? |
title | Biostatistics as a Tool for Medical Research: What are we Doing Wrong? |
title_full | Biostatistics as a Tool for Medical Research: What are we Doing Wrong? |
title_fullStr | Biostatistics as a Tool for Medical Research: What are we Doing Wrong? |
title_full_unstemmed | Biostatistics as a Tool for Medical Research: What are we Doing Wrong? |
title_short | Biostatistics as a Tool for Medical Research: What are we Doing Wrong? |
title_sort | biostatistics as a tool for medical research: what are we doing wrong? |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7241663/ https://www.ncbi.nlm.nih.gov/pubmed/32467869 http://dx.doi.org/10.31138/mjr.30.4.196 |
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