Parsing Science - p-Hacking Business

2019-02-21T02:10:22Z (GMT) by Doug Leigh Ryan Watkins Ron Berman
Whether intentionally or unintentionally, could the manipulation of statistics in marketing research be costing companies millions? In episode 43, <a href="https://marketing.wharton.upenn.edu/profile/ronber/" rel="noopener" target="_blank">Ron Berman</a> from the <a href="https://www.wharton.upenn.edu/" rel="noopener" target="_blank">University of Pennsylvania's Wharton School of Business</a> discusses in his research article "<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3204791" rel="noopener" target="_blank">p-Hacking and False Discovery in A/B Testing</a>," co-authored with <a href="https://www.linkedin.com/in/leonid-pekelis-3a60614/" rel="noopener" target="_blank">Leonid Pekelis</a>, <a href="https://aislingscott.com/research/" rel="noopener" target="_blank">Aisling Scott</a>, and <a href="https://marketing.wharton.upenn.edu/profile/vdbulte/" rel="noopener" target="_blank">Christophe Van den Bulte</a>, and published July 18, 2018 on <em><a href="https://www.ssrn.com/index.cfm/en/" rel="noopener" target="_blank">SSRN</a></em>.<div><br></div><div><a href="https://www.parsingscience.org/2019/02/19/berman/">https://www.parsingscience.org/2019/02/19/berman/</a><br></div>