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J Lee MD PhD's avatar

I highly recommend that everyone reading my post here should get familiar with the work of Professor Deborah Mayo. She is a genius in my opinion — her three texts written since 1996 are gems. Both are lucid but detailed and highly articulate; her writing addresses the present state of affairs vis-a-vis statistical hypothesis evaluation and scientific research. Start with her 1996 book, “Error and the Growth of Experimental Knowledge”. You will be rewarded.

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Reggie Edwards's avatar

The points here are bizarre at worst and at best simply out of touch with current statistical and social science practice. The criticisms of over-reliance on p-values, linear models, Diff-in-Diffs, etc are all 100% correct....if you stopped keeping up-to-date circa 2005.

Economics and political science-- two heavy consumers and producers of statistical methodology--have greatly advanced the state of art and science and practice of statistics. Just skim the writings of Andrew Gelman (Columbia) or Guido Imbens and Susan Athey (Stanford).

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