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Improving Transparency, Falsifiability, and Rigour by Mak... | ResearchHub
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Improving Transparency, Falsifiability, and Rigour by Making Hypothesis Tests Machine Readable
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Authors
Daniël Lakens
1 more
Daniël Lakens
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Lisa DeBruine
Published
January 27, 2020
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Topics
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DOI
10.31234/osf.io/5xcda
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Supporters
PJ
Patrick Joyce
+
Add your support
Topics
Biology
Machine Learning
Computer Science
Mathematics
Economics
Show all topics
DOI
10.31234/osf.io/5xcda
Other Formats
PDF
