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...

Full description

Bibliographic Details
Main Authors: Jing Zhou, Sebastian Scherr
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