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Stereotyping and the treatment of missing data for drug and alcohol clinical trials
Stigma and stereotyping of marginalized groups often is insidious and shows up in unlikely places, for instance in how clinical trials consider dropouts in treatment research. A surprising number of studies presume that people who do not complete the study protocol relapse and code their data as if...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2649066/ https://www.ncbi.nlm.nih.gov/pubmed/19226454 http://dx.doi.org/10.1186/1747-597X-4-2 |
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author | Arndt, Stephan |
author_facet | Arndt, Stephan |
author_sort | Arndt, Stephan |
collection | PubMed |
description | Stigma and stereotyping of marginalized groups often is insidious and shows up in unlikely places, for instance in how clinical trials consider dropouts in treatment research. A surprising number of studies presume that people who do not complete the study protocol relapse and code their data as if they had been observed. There is no good statistical rationale for this treatment of missing data and numerous and more defensible alternative methods are available. We need to be mindful about our attitudes and preconceptions about the people we are intending to help. There is no good reason to continue to support science built on this scientifically indefensible stereotyping, however unintentional. |
format | Text |
id | pubmed-2649066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-26490662009-02-28 Stereotyping and the treatment of missing data for drug and alcohol clinical trials Arndt, Stephan Subst Abuse Treat Prev Policy Editorial Stigma and stereotyping of marginalized groups often is insidious and shows up in unlikely places, for instance in how clinical trials consider dropouts in treatment research. A surprising number of studies presume that people who do not complete the study protocol relapse and code their data as if they had been observed. There is no good statistical rationale for this treatment of missing data and numerous and more defensible alternative methods are available. We need to be mindful about our attitudes and preconceptions about the people we are intending to help. There is no good reason to continue to support science built on this scientifically indefensible stereotyping, however unintentional. BioMed Central 2009-02-18 /pmc/articles/PMC2649066/ /pubmed/19226454 http://dx.doi.org/10.1186/1747-597X-4-2 Text en Copyright © 2009 Arndt; 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 Arndt, Stephan Stereotyping and the treatment of missing data for drug and alcohol clinical trials |
title | Stereotyping and the treatment of missing data for drug and alcohol clinical trials |
title_full | Stereotyping and the treatment of missing data for drug and alcohol clinical trials |
title_fullStr | Stereotyping and the treatment of missing data for drug and alcohol clinical trials |
title_full_unstemmed | Stereotyping and the treatment of missing data for drug and alcohol clinical trials |
title_short | Stereotyping and the treatment of missing data for drug and alcohol clinical trials |
title_sort | stereotyping and the treatment of missing data for drug and alcohol clinical trials |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2649066/ https://www.ncbi.nlm.nih.gov/pubmed/19226454 http://dx.doi.org/10.1186/1747-597X-4-2 |
work_keys_str_mv | AT arndtstephan stereotypingandthetreatmentofmissingdatafordrugandalcoholclinicaltrials |