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Hypothesis testing, power and sample size determination for between group comparisons in fMRI experiments

机译:在fMRI实验中进行组比较之间的假设检验,功效和样本大小确定

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摘要

Modern methods for imaging the human brain, such as functional magnetic resonance imaging (fMRI) present a range of challenging statistical problems. In this paper, we first develop a large sample based test for between group comparisons and use it to determine the necessary sample size in order to obtain a target power via simulation under various alternatives for a given pre-specified significance level. Both testing and sample size calculations are particularly critical for neuroscientists who use these new techniques, since each subject is expensive to image.
机译:用于人脑成像的现代方法,例如功能磁共振成像(fMRI),提出了一系列具有挑战性的统计问题。在本文中,我们首先针对组间比较开发了一个基于样本的大型测试,并使用它来确定必要的样本量,以便在给定的预先指定的显着性水平下,通过各种替代方案下的仿真来获得目标功效。对于使用这些新技术的神经科学家而言,测试和样本量计算都至关重要,因为每个受试者的成像成本都很高。

著录项

  • 来源
    《Statistical Methodology》 |2009年第2期|133-146|共14页
  • 作者单位

    Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Chicago, IL 60612, United States Department of Psychiatry, University of Illinois at Chicago, United States Division of Biostatistics, University of Illinois at Chicago, United States;

    Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Chicago, IL 60612, United States Department of Mathematics and Statistics, University of Maryland Baltimore County, United States;

    Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Chicago, IL 60612, United States Department of Statistics, University of Georgia, United States;

    Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Chicago, IL 60612, United States Center for Cognitive Medicine, University of Illinois at Chicago, United States Department of BioEngineering, University of Illinois at Chicago, United States;

    Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Chicago, IL 60612, United States Division of Biostatistics, University of Illinois at Chicago, United States Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Room # 453, Chicago, IL 60612, United States;

    Department of Psychiatry, University of Illinois at Chicago, United States Center for Cognitive Medicine, University of Illinois at Chicago, United States;

    Discerning Systems Inc. Burnaby, BCV3N4S9, Canada;

    Center for Health Statistics, University of Illinois at Chicago, 1601 W Taylor Street (MC 912), Chicago, IL 60612, United States Department of Psychiatry, University of Illinois at Chicago, United States Division of Biostatistics, University of Illinois at Chicago, United States;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    brain imaging; equality of proportion; false discovery rate; large sample test; regions of interest;

    机译:脑成像比例相等;错误发现率;大样本测试;感兴趣的区域;

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