Power and sample size calculation for neuroimaging studies by non-central random field theory
- 18 June 2007
- journal article
- research article
- Published by Elsevier in NeuroImage
- Vol. 37 (3) , 721-730
- https://doi.org/10.1016/j.neuroimage.2007.06.009
Abstract
No abstract availableKeywords
This publication has 26 references indexed in Scilit:
- A Gaussian kinematic formulaThe Annals of Probability, 2006
- An improved theoretical P value for SPMs based on discrete local maximaNeuroImage, 2005
- An empirical investigation into the number of subjects required for an event-related fMRI studyNeuroImage, 2004
- A Reference Effect Approach for Power Analysis in fMRINeuroImage, 2001
- The geometry of correlation fields with an application to functional connectivity of the brainThe Annals of Applied Probability, 1999
- The size of the connected components of excursion sets of χ2, t and F fieldsAdvances in Applied Probability, 1999
- Mapping Voxel-Based Statistical Power on Parametric ImagesNeuroImage, 1998
- Detecting Activations in PET and fMRI: Levels of Inference and PowerNeuroImage, 1996
- Nonparametric Analysis of Statistic Images from Functional Mapping ExperimentsJournal of Cerebral Blood Flow & Metabolism, 1996
- Testing for a Signal with Unknown Location and Scale in a Stationary Gaussian Random FieldThe Annals of Statistics, 1995