管道的变化:朋友或敌人,取决于目标:评论德国人等人. 2025 年 2025 年 2025 年 2025 年 2025 年
1Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States.
Imaging neuroscience (Cambridge, Mass.)
|December 1, 2025
概括
管道变化可以在特定的跨组大分析中膨胀虚假阳性. 然而,在传统的大型分析中,它增强了概括性,并保护了文物,突出了依赖上下文的效应.
科学领域:
- 神经成像研究研究的神经成像.
- 数据分析方法论数据分析方法论
- 神经科学中的统计建模.
背景情况:
- 神经成像研究通常涉及复杂的数据处理管道.
- 这些管道在不同研究中的变化可能会引发混.
- 大型分析将多项研究的数据汇总起来,以增加统计能力.
研究的目的:
- 评估管道变化对大分析结果的影响.
- 为了区分管道变化的影响在传统与跨组大分析中.
- 为了澄清什么时候管道变化是混而不是好处.
主要方法:
- 对大型分析方法的审查和概念分析.
- 检查主体级数据处理差异的统计影响.
- 传统和跨组大分析框架之间的区别.
主要成果:
- 管道变化在比较不同处理的数据的特定跨组大分析中膨胀了虚假阳性率.
- 可变性并不与传统的超大分析中测试非零效应的感兴趣效应混.
- 管道差异可以提高概括性,并保护传统分析中的工件.
结论:
- 管道变化的影响取决于环境,在某些分析中构成风险,而在其他分析中则提供好处.
- 了解这些细微差别对于准确解释大型分析结果至关重要.
- 需要仔细考虑管道的一致性,特别是对集团之间的比较.
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