Model-X knockoffs in the replication crisis era: Reducing false discoveries and researcher bias in social science research
The present study addresses problems faced by data-driven social science caused by having too much or not enough data. In particular, an abundance of data or a (sudden) lack thereof makes it challenging to identify the most important predictors in a sea of noise using the most parsimonious and repro...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-01-01
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| Series: | Social Sciences and Humanities Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S259029112500107X |
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