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| 1 | 二分类结果组间比较的样本量计算(英文)显示文摘概述:样本大小是临床研究的一个重要参数。然而,把握度和样本量分析对许多生物医学和社会心理调查者来说似乎是一个统计学家的魔术。在本文中,我们继续讨论二分类结果的把握度和样本量的计算。我们再次强调了在建立假设和进行把握度分析中调查者和生物统计学家之间密切联系的重要性。 | Xunan ZHANG Jiangnan LYU Justin TU Jinyuan LIU Xiang LU | 2017 | 上海精神医学2017，29，5： | 1 |
| 2 | Human iPSC-Based Modeling of Late-Onset Disease via Progerin-Induced Aging显示文摘 | Justine D. Miller Yosif M. Ganat Sarah Kishinevsky Robert L. Bowman Becky Liu Edmund Y. Tu Pankaj K. Mandal Elsa Vera Jae-won Shim Sonja Kriks Tony Taldone Noemi Fusaki Mark J. Tomishima Dimitri Krainc Teresa A. Milner Derrick J. Rossi Lorenz Studer | 2013 | Cell Stem Cell2013，，6： | 1 |
| 3 | Homoscedasticity:an overlooked critical assumption for linear regression显示文摘SUMMARY Linear regression is widely used in biomedical and psychosocial research.A critical assumption that is often overlooked is homoscedasticity.Unlike normality,the other assumption on data distribution,homoscedasticity is often taken for granted when fitting linear regression models.However,contrary to popular belief,this assumption actually has a bigger impact on validity of linear regression results than normality.In this report,we use Monte Carlo simulation studies to investigate and compare their effects on validity of inference. | Kun Yang Justin Tu Tian Chen | 2019 | General Psychiatry2019，32，5： | 0 |
| 4 | Post-hoc power analysis:a conceptually valid approach for power based on observed study data显示文摘Power analysis is a key component of planning prospective studies such as clinical trials.However,some journals in biomedical and psychosocial sciences request power analysis for data already collected and analysed before acceptingmanuscripts for publication.Many have raised concerns about the conceptual basis for such post-hoc power analyses.More 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 power.On 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 findings.The 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 findings.In 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. | Natalie E Quach Kun Yang Ruohui Chen Justin Tu Manfei Xu Xin M Tu Xinlian Zhang | 2022 | General Psychiatry2022，35，4： | 0 |
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