Raiders of the lost HARK: a reproducible inference framework for big data science

Raiders of the lost HARK: a reproducible inference framework for big data science

Hypothesizing after the results are known (HARK) has been disparaged as data dredging, and safeguards including hypothesis preregistration and statistically rigorous oversight have been recommended. Despite potential drawbacks, HARK has deepened thinking about complex causal processes. Some of the H...

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Bibliographic Details
Main Authors:	Bian, J. (Author), Buchan, I.E (Author), Koopman, J.S (Author), Prosperi, M. (Author), Sperrin, M. (Author), Wang, M. (Author)
Format:	Article
Language:	English
Published:	Palgrave Macmillan Ltd. 2019
Online Access:	View Fulltext in Publisher

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