Create labhacks.md

Author: Patrick Beukema

labhacks.md

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 * Save your figures in svg, or eps. pngs do not scale well and are impossible to modify.
 ##  Statistical Analysis
-* Learn to love Bayesian statistics, if you don't already. 
+* Learn to love Bayesian statistics, if you don't already.
 [This](http://jakevdp.github.io/blog/2014/03/11/frequentism-and-bayesianism-a-practical-intro/) is an introduction on bayesian vs. frequentism written by [Jake Vanderplas](https://staff.washington.edu/jakevdp/), an astrophysicist and python developer. 
 
 
-* Beware of p-values. Read [this](http://ejwagenmakers.com/2007/pValueProblems.pdf) paper for some of the problems with p-values if you are not familiar with the controversy.
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+* Beware of p-values and null hypothesis significance testing in general. Read [this](http://ejwagenmakers.com/2007/pValueProblems.pdf) paper for some of the problems with p-values if you are not familiar with the controversy. [Here](http://www.stat.columbia.edu/~gelman/research/published/pvalues3.pdf) and [here](http://www.stat.columbia.edu/~gelman/research/published/retropower20.pdf) Andrew Gelman's shed light on what is going wrong 
 
 * 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.