Under growing pressure to report accurate findings as they interpret increasingly larger amounts of data, researchers are finding it more important than ever to follow sound statistical practices.
For that reason, a team of statisticians including Carnegie Mellon University’s Robert E. Kass, wrote “Ten Simple Rules for Effective Statistical Practice.” Published in PLOS Computational Biology for the journal’s popular “Ten Simple Rules” series, the guidelines are designed to help the research community — particularly scientists who aren’t statistical experts or without a dedicated statistician as part of their team — understand how to avoid the pitfalls of well-intended, but inaccurate statistical reasoning.
The rules, which were made available online June 9, have received an extraordinary amount of attention so far with more than 38,000 page views, already making it one of the top 20 most viewed papers in the series, which includes about 60 total papers. Read More…