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* As soon as possible, understand [bootstraping](https://en.wikipedia.org/wiki/Bootstrapping), [cross-validation](https://en.wikipedia.org/wiki/Cross-validation_(statistics)) and [permutation tests](https://en.wikipedia.org/wiki/Resampling_(statistics)). [Here](https://docs.google.com/presentation/d/11TozBxAaON1eFXeL6aK1USLtJyAbUaHhskcPkI0FLbc/edit#slide=id.g138cbbed1a_0_0) are some lecture notes that look at these topics in the context of multivariate pattern analysis in fMRI.
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*[Rob Kass](http://www.stat.cmu.edu/~kass/), CMU statistics faculty, has written [guidelines](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004961) on how to approach data analysis. They are extremely useful.
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*[Rob Kass](http://www.stat.cmu.edu/~kass/), CMU statistics faculty, has written [Ten Simple Rules for Effective Statistical Practice](http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004961). They are extremely useful.
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* Frequent [datatau](http://www.datatau.com/) for interesting news on data analysis
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