Abstract
The reproducibility of statistical findings has become a concern not only for statisticians, but for all researchers engaged in empirical discovery. Section 2 of this article identifies key reasons statistical findings may not replicate, including power and sampling issues; misapplication of statistical tests; the instability of findings under reasonable perturbations of data or models; lack of access to methods, data, or equipment; and cultural barriers such as researcher incentives and rewards. Section 3 discusses five proposed remedies for these replication failures: improved prepublication and postpublication validation of findings; the complete disclosure of research steps; assessment of the stability of statistical findings; providing access to digital research objects, in particular data and software; and ensuring these objects are legally reusable.
Original language | English (US) |
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Pages (from-to) | 1-19 |
Number of pages | 19 |
Journal | Annual Review of Statistics and Its Application |
Volume | 2 |
DOIs | |
State | Published - Apr 10 2015 |
Keywords
- Code sharing
- Data sharing
- Open code
- Open data
- Open licensing
- Open science
- Replication
- Reproducible research
- Statistical reproducibility
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty