When “facts” are not facts: what does p value really mean, and how does it deceive us?

The recent paper in JAMA alleging that frozen embryo transfer causes twice the risk of childhood cancer in the offspring is an excellent example of the erroneous use of statistical tests (and the misinterpretation of p value) that is common in much of the medical literature, even in very high impact...

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Autores principales: Liao, Caiyun, Speirs, Andrew L., Goldsmith, Sierra, Silber, Sherman J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311604/
https://www.ncbi.nlm.nih.gov/pubmed/32253538
http://dx.doi.org/10.1007/s10815-020-01751-4
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author Liao, Caiyun
Speirs, Andrew L.
Goldsmith, Sierra
Silber, Sherman J.
author_facet Liao, Caiyun
Speirs, Andrew L.
Goldsmith, Sierra
Silber, Sherman J.
author_sort Liao, Caiyun
collection PubMed
description The recent paper in JAMA alleging that frozen embryo transfer causes twice the risk of childhood cancer in the offspring is an excellent example of the erroneous use of statistical tests (and the misinterpretation of p value) that is common in much of the medical literature, even in very high impact journals. These myths backed by misleading statements of “statistical significance” can cause far-reaching harm to patients and doctors who might not understand the pitfalls of specious statistical testing.
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spelling pubmed-73116042020-06-29 When “facts” are not facts: what does p value really mean, and how does it deceive us? Liao, Caiyun Speirs, Andrew L. Goldsmith, Sierra Silber, Sherman J. J Assist Reprod Genet Commentary The recent paper in JAMA alleging that frozen embryo transfer causes twice the risk of childhood cancer in the offspring is an excellent example of the erroneous use of statistical tests (and the misinterpretation of p value) that is common in much of the medical literature, even in very high impact journals. These myths backed by misleading statements of “statistical significance” can cause far-reaching harm to patients and doctors who might not understand the pitfalls of specious statistical testing. Springer US 2020-04-07 2020-06 /pmc/articles/PMC7311604/ /pubmed/32253538 http://dx.doi.org/10.1007/s10815-020-01751-4 Text en © The Author(s) 2020 Open Access This 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/.
spellingShingle Commentary
Liao, Caiyun
Speirs, Andrew L.
Goldsmith, Sierra
Silber, Sherman J.
When “facts” are not facts: what does p value really mean, and how does it deceive us?
title When “facts” are not facts: what does p value really mean, and how does it deceive us?
title_full When “facts” are not facts: what does p value really mean, and how does it deceive us?
title_fullStr When “facts” are not facts: what does p value really mean, and how does it deceive us?
title_full_unstemmed When “facts” are not facts: what does p value really mean, and how does it deceive us?
title_short When “facts” are not facts: what does p value really mean, and how does it deceive us?
title_sort when “facts” are not facts: what does p value really mean, and how does it deceive us?
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311604/
https://www.ncbi.nlm.nih.gov/pubmed/32253538
http://dx.doi.org/10.1007/s10815-020-01751-4
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