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Post-hoc power analysis:a conceptually valid approach for power based on observed study data

作     者:Natalie E Quach Kun Yang Ruohui Chen Justin Tu Manfei Xu Xin M Tu Xinlian Zhang Natalie E Quach;Kun Yang;Ruohui Chen;Justin Tu;Manfei Xu;Xin M Tu;Xinlian Zhang

作者机构:Division of Biostatistics and BioinformaticsHerbert Wertheim School of Public Health and Human Longevity ScienceUC San DiegoLa JollaCaliforniaUSA Department of OrthopedicsEmory HealthcareEmory UniversityAtlantaGeorgiaUSA Shanghai Mental Health CenterShanghai Jiao Tong University School of MedicineShanghaiChina 

出 版 物:《General Psychiatry》 (综合精神医学(英文))

年 卷 期:2022年第35卷第4期

页      面:266-272页

核心收录:

学科分类:1002[医学-临床医学] 100205[医学-精神病与精神卫生学] 10[医学] 

基  金:supported by the National Institutes of Health(grant UL1TR001442)of CTSA funding 

主  题:power approach sizes 

摘      要:Power analysis is a key component of planning prospective studies such as clinical ***,some journals in biomedical and psychosocial sciences request power analysis for data already collected and analysed before acceptingmanuscripts for *** have raised concerns about the conceptual basis for such post-hoc power *** recently,Zhang et al showed by using simulation studies that such power analyses do not indicate true power for detecting statistical significance since post-hoc power estimates vary in the range of practical interests and can be very different from the true *** the other hand,journals request for information about the reliability of statistical findings in a manuscript due to small sample sizes is justified since the sample size plays an important role in the reproducibility of statistical *** problem is the wording of the journals request,as the current power analysis paradigm is not designed to address journals concerns about the reliability of the statistical *** this paper,we propose an alternate formulation of power analysis to provide a conceptually valid approach to the journals wrongly worded but practically significant concern.

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