Reproducing Statistical Results

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.