John Ioannidis on Statistical Significance, Economics, and Replication

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4.7 • 4.3K Ratings

🗓️ 22 January 2018

⏱️ 65 minutes

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Summary

John Ioannidis of Stanford University talks with EconTalk host Russ Roberts about his research on the reliability of published research findings. They discuss Ioannidis's recent study on bias in economics research, meta-analysis, the challenge of small sample analysis, and the reliability of statistical significance as a measure of success in empirical research.

Transcript

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0:00.0	Welcome to Econ Talk, part of the Library of Economics and Liberty.
0:08.1	I'm your host, Russ Roberts of Stanford University's Hoover Institution.
0:12.7	Our website is econtalk.org where you can subscribe, comment on this podcast, and find
0:17.6	links and other information related to today's conversation.
0:20.6	We'll also find our archives where you can listen to every episode we've ever done going
0:24.9	back to 2006.
0:27.1	Our email address is mailadycontalk.org.
0:29.6	We'd love to hear from you.
0:33.7	Before introducing today's guest, I want to encourage listeners to fill out our annual
0:36.9	survey voting for your favorite episodes of 2017, as well as telling us about yourself
0:42.0	and your listening experience at econtalk.
0:44.2	So please go to econtalk.org.
0:46.6	And in the upper left hand corner, you'll find the link to the survey.
0:49.3	Thank you for a great ear and I hope to make 2018 better.
0:52.7	Today is December 21, 2017 and my guest is Johnny and Needys.
0:57.2	He is the CF-Renborg Chair in Disease Prevention at Stanford University, Professor of Medicine,
1:02.4	Professor of Health Research and Policy, Professor by Currency of Biomedical Data Science,
1:07.6	Professor by Currency of Statistics, Co-Director of the Meta Research Innovation Center at Stanford,
1:13.3	Director of the PhD Program at Epidemiology and Clinical Research.
1:17.1	His 2005 paper from PLOS Medicine, why most published research findings are false, has
1:24.0	been the most access article in the history of PLOS with 2.5 million hits, and he claims
1:29.2	or perhaps concedes that he loves to be constantly reminded that he knows next to nothing,
	...

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