Aug 1, 2009 · GFDR was able to handle modeling violations and produce good results when FDR failed. Real fMRI data was also used to confirm GFDR capabilities.

Aug 1, 2009 · The focus of this paper is on the development of a generalized version of FDR (GFDR) in an empirical Bayesian framework, specially adapted for ...

The focus of this paper is on the development of a generalized version of FDR (GFDR) in an empirical Bayesian framework, specially adapted for fMRI thresholding ...

The focus of this paper is on the development of a generalized version of FDR (GFDR) in an empirical Bayesian framework, specially adapted for fMRI thresholding ...

The focus of this paper is on the development of a generalized version of FDR (GFDR) in an empirical Bayesian framework, specially adapted for fMRI thresholding ...

Enhanced false discovery rate using Gaussian mixture models for thresholding fMRI statistical maps · List of references · Publications that cite this publication.

We show theoretically as well as by simulation that for real fMRI data various factors lead to a mixture of Gaussians (MOG) density for the "null" distribution.

Enhanced false discovery rate using Gaussian mixture models for thresholding fMRI statistical maps. Gautam Pendse, David Borsook, Lino Becerra · Details ...

We show theoretically as well as by simulation that for real fMRI data various factors lead to a mixture of Gaussians (MOG) density for the "null" distribution.

This paper introduces to the neuroscience literature statistical procedures for controlling the false discovery rate (FDR) and demonstrates this approach ...