Dear All,
We have recently published an article on cross-validation pitfalls http://www.jcheminf.com/content/6/1/10/
In the article, amongst other things, we discuss nested cross-validation and variable selection with cross-validation which I am sure is of interest to statistical modelling community. I am keen to hear critical assessment of our paper from the community. 
So far it was brought to my attention thata) In the section "Preprocessing" I failed to mention that we used the caret R package and failed to reference Max Kuhn's 2008 paper "Building Predictive Models in R Using the caret Package".b) In the section "Nested cross-validation" I failed to mention the Bioinformtics 2004 paper by Statnitkov et al. "A comprehensive evaluation of multicategory classification methods...", because they also suggested nested cross-validationc) In the section "Discussion" I should have explained that nested cross-validation may also be applied to cases where variable selection is performed with cross-validation. There is a Bioinformatics 2010 paper by Lagani and Tsamardions "Structure-Based Variable Selection for Survival Data" where they applied nested cross-validation for variable selection with cross-validation.
Looking forward to hearing from you.DKP.S. I am the corresponding author and please use my email address specified in the paper. 
 		 	   		  
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