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...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Social Sciences and Humanities Open |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S259029112500107X |