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Inconsistency between overall and subgroup analyses
Suppose we have a sample of subjects in two treatment groups. To study the difference of the treatment effects, we can analyse the data using all subjects (overall analysis). We may also divide the subjects into several subgroups based on some covariates of interest (eg, gender), and study the treat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114839/ https://www.ncbi.nlm.nih.gov/pubmed/35677850 http://dx.doi.org/10.1136/gpsych-2021-100732 |
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author | Wang, Hongyue Wang, Bokai Tu, Xin M Feng, Changyong |
author_facet | Wang, Hongyue Wang, Bokai Tu, Xin M Feng, Changyong |
author_sort | Wang, Hongyue |
collection | PubMed |
description | Suppose we have a sample of subjects in two treatment groups. To study the difference of the treatment effects, we can analyse the data using all subjects (overall analysis). We may also divide the subjects into several subgroups based on some covariates of interest (eg, gender), and study the treatment effects within each subgroup. The results of these two analyses may be different or even in opposite directions. In this paper, we give a general sufficient condition of consistency between the overall and subgroup analyses. |
format | Online Article Text |
id | pubmed-9114839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-91148392022-06-07 Inconsistency between overall and subgroup analyses Wang, Hongyue Wang, Bokai Tu, Xin M Feng, Changyong Gen Psychiatr Biostatistical Methods in Psychiatry Suppose we have a sample of subjects in two treatment groups. To study the difference of the treatment effects, we can analyse the data using all subjects (overall analysis). We may also divide the subjects into several subgroups based on some covariates of interest (eg, gender), and study the treatment effects within each subgroup. The results of these two analyses may be different or even in opposite directions. In this paper, we give a general sufficient condition of consistency between the overall and subgroup analyses. BMJ Publishing Group 2022-05-16 /pmc/articles/PMC9114839/ /pubmed/35677850 http://dx.doi.org/10.1136/gpsych-2021-100732 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Biostatistical Methods in Psychiatry Wang, Hongyue Wang, Bokai Tu, Xin M Feng, Changyong Inconsistency between overall and subgroup analyses |
title | Inconsistency between overall and subgroup analyses |
title_full | Inconsistency between overall and subgroup analyses |
title_fullStr | Inconsistency between overall and subgroup analyses |
title_full_unstemmed | Inconsistency between overall and subgroup analyses |
title_short | Inconsistency between overall and subgroup analyses |
title_sort | inconsistency between overall and subgroup analyses |
topic | Biostatistical Methods in Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9114839/ https://www.ncbi.nlm.nih.gov/pubmed/35677850 http://dx.doi.org/10.1136/gpsych-2021-100732 |
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