My boss often talks about some of the accidental misrepresentations of data occur in big data/statistics in the academic world. I started becoming interested in

My boss often talks about some of the accidental misrepresentations of data occur in big data/statistics in the academic world. I started becoming interested in this during the P-Value debacle. There is a lot of work to be done to reverse the clinical misunderstanding and misuse of the tools we have at hand, because to be frank I'd say none of us understands them. Can someone point me to a piece of reading so I can learn about the correct way to do this kind of statistical analysis?