Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Arndt, Stephan
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
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
_version_ 1782165019432058880
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