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- 1
-
T. Behrens, M.W. Woolrich, and S.M. Smith.
Multi-subject null hypothesis testing using a fully Bayesian
framework: Theory.
In Ninth Int. Conf. on Functional Mapping of the Human Brain,
2003.
- 2
-
E. Bullmore, M. Brammer, S.C.R. Williams, S. Rabe-Hesketh, N. Janot, A. David,
J. Mellers, R. Howard, and P. Sham.
Statistical methods of estimation and inference for functional MR
image analysis.
Magnetic Resonance in Medicine, 35(2):261-277, 1996.
- 3
-
A. Cnaan, N.M. Laird, and P. Slasor.
Tutorial in Biostatistics: Using the general linear mixed model
to analyse unbalanced repeated measures and longitudinal data.
Statistics in Medicine, 16:2349-2380, 1997.
- 4
-
B.S. Everitt.
The analysis of Repeated Measures: A Practical Review with
Examples.
Statistician, 44(1):113-135, 1995.
- 5
-
L. Frison and S.J. Pocock.
Repeated measures in clinical trials: Analysis using mean summary
statistics and its implications for design.
Statistics in Medicine, 11:1685-1704, 1992.
- 6
-
K. J. Friston, W. Penny, C. Phillips, S. Kiebel, G. Hinton, and J. Ashburner.
Classical and Bayesian inference in neuroimaging: Theory.
NeuroImage, 16:465-483, 2002.
- 7
-
FSL.
http://www.fmrib.ox.ac.uk/fsl.
- 8
-
G. H. Golub and C. F. Van Loan.
Matrix Computations.
Johns Hopkins University Press, Baltimore, second edition, 1989.
- 9
-
A.P Holmes and K.J. Friston.
Generalisability, random effects & population inference.
In Fourth Int. Conf. on Functional Mapping of the Human Brain,
NeuroImage, volume 7, page S754, 1998.
- 10
-
P. Jezzard, P.M. Matthews, and S.M. Smith, editors.
Functional MRI: An Introduction to Methods.
OUP, Oxford, 2001.
- 11
-
D.G. Leibovici.
Negative variance problem in fMRI.
In Seventh Int. Conf. on Functional Mapping of the Human Brain,
2001.
- 12
-
J.L. Marchini and S.M. Smith.
On bias in the estimation of autocorrelations for fMRI voxel
time-series analysis.
NeuroImage, 18(1):83-90, 2003.
- 13
-
J.N.S. Matthews, D.G. Altman, M.J. Campbell, and P. Royston.
Analysis of serial measurements in medical research.
British Medical Journal, 300:230-235, 1990.
- 14
-
P.L. Purdon, V. Solo, E. Brown, R. Buckner, M. Rotte, and R.M. Weisskoff.
fMRI noise variability across subject and trials: Insights for
noise estimation methods.
In Fourth Int. Conf. on Functional Mapping of the Human Brain,
NeuroImage, volume 7, page S617, 1998.
- 15
-
F.E. Satterthwaite.
An approximate distribution of estimates of variance components.
Biometrics Bull., 2:110-114, 1946.
- 16
-
S.R. Searle, G. Casella, and C.E. McCulloch.
Variance Components.
Wiley, 1992.
- 17
-
M.W. Woolrich, B.D. Ripley, J.M. Brady, and S.M. Smith.
Temporal autocorrelation in univariate linear modelling of FMRI
data.
NeuroImage, 14(6):1370-1386, 2001.
- 18
-
K.J. Worsley and K.J. Friston.
Analysis of fMRI time series revisited - again.
NeuroImage, 2:173-181, 1995.
- 19
-
K.J. Worsley, C.H. Liao, J. Aston, V. Petre, G.H. Duncan, F. Morales, and A.C.
Evans.
A general statistical analysis for fMRI data.
NeuroImage, 15(1):1-15, 2002.
Christian Beckmann
2003-07-16