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Suggested Statistical Reporting Guidelines for Clinical Trials Data

Statistical methods are widely accepted tools for analyzing data and drawing appropriate conclusions. However, inappropriate statistical methods may lead to unsuitable or false conclusions. Statistical quality of articles published in Indian medical journals presents with statistical fallacies and v...

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Detalles Bibliográficos
Autores principales: Charan, Jaykaran, Saxena, Deepak
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361838/
https://www.ncbi.nlm.nih.gov/pubmed/22661803
http://dx.doi.org/10.4103/0253-7176.96152
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author Charan, Jaykaran
Saxena, Deepak
author_facet Charan, Jaykaran
Saxena, Deepak
author_sort Charan, Jaykaran
collection PubMed
description Statistical methods are widely accepted tools for analyzing data and drawing appropriate conclusions. However, inappropriate statistical methods may lead to unsuitable or false conclusions. Statistical quality of articles published in Indian medical journals presents with statistical fallacies and very few attempts have been done to document it till date. Issues related to inappropriate use of statistic in interpreting clinical trial raises serious doubt about the validity of the results published and there generalization to patient population. Clinical trials are considered to have one of the highest evidences in terms of efficacy of any intervention and hence results reported in these clinical trials help in appropriate decision making in clinical practices. Present manuscript is an attempt to have an insight into issues related to inappropriate use of statistic during clinical trials and suggests possible methods by which such fallacies can be averted.
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spelling pubmed-33618382012-06-01 Suggested Statistical Reporting Guidelines for Clinical Trials Data Charan, Jaykaran Saxena, Deepak Indian J Psychol Med Review Article Statistical methods are widely accepted tools for analyzing data and drawing appropriate conclusions. However, inappropriate statistical methods may lead to unsuitable or false conclusions. Statistical quality of articles published in Indian medical journals presents with statistical fallacies and very few attempts have been done to document it till date. Issues related to inappropriate use of statistic in interpreting clinical trial raises serious doubt about the validity of the results published and there generalization to patient population. Clinical trials are considered to have one of the highest evidences in terms of efficacy of any intervention and hence results reported in these clinical trials help in appropriate decision making in clinical practices. Present manuscript is an attempt to have an insight into issues related to inappropriate use of statistic during clinical trials and suggests possible methods by which such fallacies can be averted. Medknow Publications & Media Pvt Ltd 2012 /pmc/articles/PMC3361838/ /pubmed/22661803 http://dx.doi.org/10.4103/0253-7176.96152 Text en Copyright: © Indian Journal of Psychological Medicine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Charan, Jaykaran
Saxena, Deepak
Suggested Statistical Reporting Guidelines for Clinical Trials Data
title Suggested Statistical Reporting Guidelines for Clinical Trials Data
title_full Suggested Statistical Reporting Guidelines for Clinical Trials Data
title_fullStr Suggested Statistical Reporting Guidelines for Clinical Trials Data
title_full_unstemmed Suggested Statistical Reporting Guidelines for Clinical Trials Data
title_short Suggested Statistical Reporting Guidelines for Clinical Trials Data
title_sort suggested statistical reporting guidelines for clinical trials data
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3361838/
https://www.ncbi.nlm.nih.gov/pubmed/22661803
http://dx.doi.org/10.4103/0253-7176.96152
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