82. Geoff Cumming: p-values, estimation, and meta-analytic thinking

Nov 24, 2023

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Geoff Cumming is an Emeritus Professor at La Trobe University. In this conversation, we discuss his work on New Statistics: estimation instead of hypothesis testing, meta-analytic thinking, and many related topics.

Support the show: https://geni.us/bjks-patreon

Timestamps
0:00:00: A brief history of statistics, p-values, and confidence intervals
0:32:02: Meta-analytic thinking
0:42:56: Why do p-values seem so random?
0:45:59: Are p-values and estimation complementary?
0:47:09: How do I know how many participants I need (without a power calculation)?
0:50:27: Problems of the estimation approach (big data)
1:00:08: A book or paper more people should read
1:02:50: Something Geoff wishes he'd learnt sooner
1:04:52: Advice for PhD students and postdocs

Podcast links

Website: https://geni.us/bjks-pod
Twitter: https://geni.us/bjks-pod-twt

Geoff's links

Website: https://geni.us/cumming-web
Google Scholar: https://geni.us/cumming-scholar
Mastodon: https://nerdculture.de/@thenewstats

Ben's links

Website: https://geni.us/bjks-web
Google Scholar: https://geni.us/bjks-scholar
Twitter: https://geni.us/bjks-twt

References/links

Dance of the p-values: https://www.youtube.com/watch?v=5OL1RqHrZQ8
Significance roulette: https://www.youtube.com/watch?v=OcJImS16jR4

Episode with Simine Vazire (SIPS): https://geni.us/bjks-vazire

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