On Fri, 30 Jan 2009, Stephan Kolassa wrote:
Hi Thomas,
Thomas Mang schrieb:
I have a question here: I am not sure if I understand your 'fit the full
model ... to the permuted data set'. Am I correct to suppose that once the
residuals of the reduced-model fit have been permuted and added back to
the fitted values, the values obtained this way (fitted + permuted
residuals) now constitute the new y-values to which the full model is
fitted? Is that correct ?
It is. Look at section 2.2, "Permutation of Residuals under the Reduced
Model" here:
Anderson, M. J. & Legendre, P. An empirical comparison of permutation methods
for tests of partial regression coefficients in a linear model. Journal of
Statistical Computation and Simulation, 1999, 62, 271-303
Do you know if this procedure is also valid for a mixed-effects model ?
That's a good question... if you find out anything about this, please let me
know.
There are various kinds of residuals in mixed effects models. But mostly
they are not what you want.
What you need are the type of residuals used in the section on
significance tests in Beran and Srivastava:
@article{beran1985bta,
title={{BOOTSTRAP TESTS AND CONFIDENCE REGIONS FOR FUNCTIONS OF A
COVARIANCE MATRIX1}},
author={Beran, R. and Srivastava, M.S.},
journal={The Annals of Statistics},
volume={13},
number={1},
pages={95--115},
year={1985}
}
HTH,
Chuck
HTH,
Stephan
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Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:cbe...@tajo.ucsd.edu UC San Diego
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