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作者：Bickel, Peter J.; Bean, Derek; Chen, Aiyou; Sarkar, Purnamrita
作者单位：University of Wisconsin System; University of Wisconsin Madison
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作者：Cape, Joshua
作者单位：University of Wisconsin System; University of Wisconsin Madison
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作者：Wang, Tao
作者单位：University of Victoria
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作者：Chen, Zengjing; Yan, Xiaodong; Zhang, Guodong
作者单位：Shandong University; Shandong University; Shandong University
摘要：This study aims to improve the power of two-sample tests by analysing whether the difference between two population parameters is larger than a prespecified positive equivalence margin. The classic test statistic treats the original data as exchangeable, while the proposed test statistic breaks the structure and proposes employing a two-armed bandit process to strategically integrate the data and thus a strategy-specific test statistic is constructed by combining the classic CLT with the law o...
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作者：Niu, Xiaoyue
作者单位：Pennsylvania Commonwealth System of Higher Education (PCSHE); Pennsylvania State University; Pennsylvania State University - University Park
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作者：Wu, Shuyuan; Huang, Danyang; Wang, Hansheng
作者单位：Shanghai University of Finance & Economics; Renmin University of China; Peking University
摘要：Distributed computing is critically important for modern statistical analysis. Herein, we develop a distributed quasi-Newton (DQN) framework with excellent statistical, computation, and communication efficiency. In the DQN method, no Hessian matrix inversion or communication is needed. This considerably reduces the computation and communication complexity of the proposed method. Notably, related existing methods only analyse numerical convergence and require a diverging number of iterations to...
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作者：Goeman, Jelle J.; Gorecki, Pawel; Monajemi, Ramin; Chen, Xu; Nichols, Thomas E.; Weeda, Wouter
作者单位：Leiden University; Leiden University Medical Center (LUMC); Leiden University - Excl LUMC; University of Warsaw; University of Oxford; University of Oxford; Leiden University - Excl LUMC; Leiden University
摘要：Cluster inference based on spatial extent thresholding is a popular analysis method multiple testing in spatial data, and is frequently used for finding activated brain areas in neuroimaging. However, the method has several well-known issues. While powerful for finding regions with some activation, the method as currently defined does not allow any further quantification or localisation of signal. In this paper, we repair this gap. We show that cluster-extent inference can be used (1) to infer...
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作者：Miles, Caleb H.
摘要：Identification of standard mediated effects such as the natural indirect effect relies on heavy causal assumptions. By circumventing such assumptions, so-called randomised interventional indirect effects have gained popularity in the mediation literature. Here, I introduce properties one might demand of an indirect effect measure in order for it to have a true mediational interpretation. For instance, the sharp null criterion requires an indirect effect measure to be null whenever no individua...
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作者：Vanderweele, Tyler J.
作者单位：Harvard University
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作者：Zhao, Qingyuan; Small, Dylan S.; Bhattacharya, Bhaswar B.
