Testing the significance of a correlation with nonnormal data: comparison of Pearson, Spearman, transformation, and resampling approaches.
AJ Bishara, JB Hittner - Psychological methods, 2012 - psycnet.apa.org
It is well known that when data are nonnormally distributed, a test of the significance of
Pearson's r may inflate Type I error rates and reduce power. Statistics textbooks and the …
Pearson's r may inflate Type I error rates and reduce power. Statistics textbooks and the …
Mass univariate analysis of event‐related brain potentials/fields I: A critical tutorial review
Event‐related potentials (ERPs) and magnetic fields (ERFs) are typically analyzed via
ANOVAs on mean activity in a priori windows. Advances in computing power and statistics …
ANOVAs on mean activity in a priori windows. Advances in computing power and statistics …
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
A Eklund, TE Nichols… - Proceedings of the …, 2016 - National Acad Sciences
The most widely used task functional magnetic resonance imaging (fMRI) analyses use
parametric statistical methods that depend on a variety of assumptions. In this work, we use …
parametric statistical methods that depend on a variety of assumptions. In this work, we use …
[HTML][HTML] Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis
S Mathôt, A Vilotijević - Behavior Research Methods, 2023 - Springer
Cognitive pupillometry is the measurement of pupil size to investigate cognitive processes
such as attention, mental effort, working memory, and many others. Currently, there is no …
such as attention, mental effort, working memory, and many others. Currently, there is no …
On testing for spatial correspondence between maps of human brain structure and function
A critical issue in many neuroimaging studies is the comparison between brain maps.
Nonetheless, it remains unclear how one should test hypotheses focused on the overlap or …
Nonetheless, it remains unclear how one should test hypotheses focused on the overlap or …
[HTML][HTML] Permutation inference for the general linear model
Permutation methods can provide exact control of false positives and allow the use of non-
standard statistics, making only weak assumptions about the data. With the availability of fast …
standard statistics, making only weak assumptions about the data. With the availability of fast …
[图书][B] Fundamentals of brain network analysis
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …
The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value
Numerous experiments have recently sought to identify neural signals associated with the
subjective value (SV) of choice alternatives. Theoretically, SV assessment is an intermediate …
subjective value (SV) of choice alternatives. Theoretically, SV assessment is an intermediate …
Voxel-based meta-analysis via permutation of subject images (PSI): Theory and implementation for SDM
Coordinate-based meta-analyses (CBMA) are very useful for summarizing the large number
of voxel-based neuroimaging studies of normal brain functions and brain abnormalities in …
of voxel-based neuroimaging studies of normal brain functions and brain abnormalities in …
Network-based statistic: identifying differences in brain networks
Large-scale functional or structural brain connectivity can be modeled as a network, or
graph. This paper presents a statistical approach to identify connections in such a graph that …
graph. This paper presents a statistical approach to identify connections in such a graph that …