Type I and Type II error concerns in fMRI research: re-balancing the scale
نویسندگان
چکیده
منابع مشابه
Type I and Type II error concerns in fMRI research: re-balancing the scale.
Statistical thresholding (i.e. P-values) in fMRI research has become increasingly conservative over the past decade in an attempt to diminish Type I errors (i.e. false alarms) to a level traditionally allowed in behavioral science research. In this article, we examine the unintended negative consequences of this single-minded devotion to Type I errors: increased Type II errors (i.e. missing tru...
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Statistical thresholding (i.e. P-values) in fMRI research has become increasingly conservative over the past decade in an attempt to diminish Type I errors (i.e. false alarms) to a level traditionally allowed in behavioral science research. In this article, we examine the unintended negative consequences of this single-minded devotion to Type I errors: increased Type II errors (i.e. missing tru...
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We seek to balance the need to minimize false positives with the need to maximize power. We propose a compartmentalized series of analyses that a priori selects regions of voxels that have different degrees of predicted involvement. Alpha thresholds are allocated based on the strength of expected theoretical relationships. For example, confirmatory studies might allocate most of the error to th...
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چکیده ندارد.
Type I and II error
Type I error A type I error occurs when one rejects the null hypothesis when it is true. The probability of a type I error is the level of significance of the test of hypothesis, and is denoted by *alpha*. Usually a one-tailed test of hypothesis is is used when one talks about type I error. Examples: If the cholesterol level of healthy men is normally distributed with a mean of 180 and a standa...
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ژورنال
عنوان ژورنال: Social Cognitive and Affective Neuroscience
سال: 2009
ISSN: 1749-5024,1749-5016
DOI: 10.1093/scan/nsp052