I think the argument supporting the use of bootstrap to determine coefficients, as opposed to just running linear regression on the whole dataset, is the comparison of Rsq and prediction errors between these two approaches - page 1502. There's a substantial difference in favor of the bootstrap approach.
-- Michal J. Figurski Gustaf Rydevik wrote:
The url for the mentioned paper is at: http://www.clinchem.org/cgi/content/full/48/9/1497 The bootstrap as applied in that paper is used to evaluate different regression models against each other (though I wonder how sensible it is to look at 26 different models with only 50 data points), which to me seem like an ok usage. The use of the median of bootstrap coefficients for the final estimates seem more like an afterthought, probably with the hope to reduce bias but without any arguments. /Gustaf
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