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The single individual in medicine: how to escape from the probability theory trap
Doctors and their patients are always concerned with the likely outcome of an existing disease and the risk of future diseases, but there are many problems in interpreting for the individual data derived from populations. Yet recent developments in mathematics and science should allow us to do much...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2503964/ https://www.ncbi.nlm.nih.gov/pubmed/18652690 http://dx.doi.org/10.1186/1757-1626-1-58 |
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author | Grossi, Enzo |
author_facet | Grossi, Enzo |
author_sort | Grossi, Enzo |
collection | PubMed |
description | Doctors and their patients are always concerned with the likely outcome of an existing disease and the risk of future diseases, but there are many problems in interpreting for the individual data derived from populations. Yet recent developments in mathematics and science should allow us to do much better. |
format | Text |
id | pubmed-2503964 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25039642008-08-08 The single individual in medicine: how to escape from the probability theory trap Grossi, Enzo Cases J Editorial Doctors and their patients are always concerned with the likely outcome of an existing disease and the risk of future diseases, but there are many problems in interpreting for the individual data derived from populations. Yet recent developments in mathematics and science should allow us to do much better. BioMed Central 2008-07-24 /pmc/articles/PMC2503964/ /pubmed/18652690 http://dx.doi.org/10.1186/1757-1626-1-58 Text en Copyright © 2008 Grossi; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Editorial Grossi, Enzo The single individual in medicine: how to escape from the probability theory trap |
title | The single individual in medicine: how to escape from the probability theory trap |
title_full | The single individual in medicine: how to escape from the probability theory trap |
title_fullStr | The single individual in medicine: how to escape from the probability theory trap |
title_full_unstemmed | The single individual in medicine: how to escape from the probability theory trap |
title_short | The single individual in medicine: how to escape from the probability theory trap |
title_sort | single individual in medicine: how to escape from the probability theory trap |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2503964/ https://www.ncbi.nlm.nih.gov/pubmed/18652690 http://dx.doi.org/10.1186/1757-1626-1-58 |
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