Statistics in the life sciences: Several recent articles offer a quick overview of common pitfalls and more robust approaches for data analysis. For more information consider:
- Ten Simple Rules for Effective Statistical Practice in PLoS Computational Biology, 2016
- The ASA’s Statement on p-Values: Context, Process, and Purpose in The American Statistician, 2016
- Blind analysis: Hide results to seek the truth in Nature, 2015
- What is the question in Science, 2015
- Common misconceptions about data analysis and statistics in Journal of Pharmacology and Experimental Therapeutics, 2014
