Data-driven region-of-interest selection without inflating Type I error rate
نویسندگان
چکیده
منابع مشابه
Data-driven region-of-interest selection without inflating Type I error rate.
In ERP and other large multidimensional neuroscience data sets, researchers often select regions of interest (ROIs) for analysis. The method of ROI selection can critically affect the conclusions of a study by causing the researcher to miss effects in the data or to detect spurious effects. In practice, to avoid inflating Type I error rate (i.e., false positives), ROIs are often based on a prio...
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ژورنال
عنوان ژورنال: Psychophysiology
سال: 2016
ISSN: 0048-5772
DOI: 10.1111/psyp.12682