Statisticians Compile “10 Simple Rules for Effective Statistical Practice”

plosStatistics may be everywhere, but a constant challenge for researchers is that statistics aren’t always understood, calculated or communicated effectively.

Leading statisticians Robert Kass of Carnegie Mellon University; Brian Caffo of Johns Hopkins University; Marie Davidian of North Carolina State University; Xiao-Li Meng of Harvard University; Bin Yu of the University of California Berkeley; and Nancy Reid of the University of Toronto have penned “Ten Simple Rules for Effective Statistical Practice” to help researchers avoid pitfalls of misrepresenting data or formulating hypotheses based on faulty statistical reasoning.

The list was recently published in the journal PLOS Computational Biology.

Back to list of notificationsPublished: 22. June 2016 | Category: Notifications