<p>This experiment examines the frequency of false cluster discovery in the presence of known significant clustering.</p
We present a method that scans a random field for localized clusters while controlling the fraction ...
<p>Group activations show <i>P</i><0.05 False Discovery Rate (FDR) whole brain corrected. The contra...
Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activation across...
<p>Shown are the numbers of clusters found for each random experiment. This experiment examines the ...
<p>LocalALE results are given as estimated FDR and FCDR rates for each significant cluster found. Si...
In their recent "Cluster Failure" paper, Eklund and colleagues cast doubt on the accuracy of a widel...
Introduction: The multiple comparison problem arises in the statistical analysis of fMRI data becaus...
<p>All correlations show <i>P</i><0.05 False Discovery Rate (FDR) corrected for the volume of activa...
<p>Clusters of significant negative correlation with pain duration reported at the peak coordinates,...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
<p>A scatter plot showing the distribution of (non-zero only) MA values for this experiment depicts:...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
Background: There is considerable uncertainty in the disease rate estimation for aggregated area map...
<div><p>Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activatio...
DoctorClustering analysis is an unsupervised learning technique for partitioning objects into severa...
We present a method that scans a random field for localized clusters while controlling the fraction ...
<p>Group activations show <i>P</i><0.05 False Discovery Rate (FDR) whole brain corrected. The contra...
Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activation across...
<p>Shown are the numbers of clusters found for each random experiment. This experiment examines the ...
<p>LocalALE results are given as estimated FDR and FCDR rates for each significant cluster found. Si...
In their recent "Cluster Failure" paper, Eklund and colleagues cast doubt on the accuracy of a widel...
Introduction: The multiple comparison problem arises in the statistical analysis of fMRI data becaus...
<p>All correlations show <i>P</i><0.05 False Discovery Rate (FDR) corrected for the volume of activa...
<p>Clusters of significant negative correlation with pain duration reported at the peak coordinates,...
Methodological research rarely generates a broad interest, yet our work on the validity of cluster i...
<p>A scatter plot showing the distribution of (non-zero only) MA values for this experiment depicts:...
There are many algorithms to cluster sample data points based on nearness or a similar-ity measure. ...
Background: There is considerable uncertainty in the disease rate estimation for aggregated area map...
<div><p>Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activatio...
DoctorClustering analysis is an unsupervised learning technique for partitioning objects into severa...
We present a method that scans a random field for localized clusters while controlling the fraction ...
<p>Group activations show <i>P</i><0.05 False Discovery Rate (FDR) whole brain corrected. The contra...
Coordinate based meta-analysis (CBMA) is widely used to find regions of consistent activation across...
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