Statistical Significance and the Dichotomization of Evidence: The Relevance of the ASA Statement on Statistical Significance and p-Values for Statisticians

Empirical efforts to document the practices and thought processes of data analysis are a promising way to understanding the real-world impact of statistical methodology. The empirical findings of M...

[1]  David Gal,et al.  Rejoinder: Statistical Significance and the Dichotomization of Evidence , 2017 .

[2]  Hans Knutsson,et al.  Correction for Eklund et al., Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2016, Proceedings of the National Academy of Sciences.

[3]  Hans Knutsson,et al.  Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates , 2016, Proceedings of the National Academy of Sciences.

[4]  R. Perera,et al.  Correction: Are Treatments More Effective than Placebos? A Systematic Review and Meta-Analysis , 2016, PloS one.

[5]  R. Perera,et al.  Erratum: Are treatments more effective than placebos? A systematic review and meta-analysis (PLoS ONE (2015) 11:1 (e0147354) 10.1371/journal.pone.0147354)) , 2016 .

[6]  E. Candès,et al.  Controlling the false discovery rate via knockoffs , 2014, 1404.5609.

[7]  D. Barr,et al.  Random effects structure for confirmatory hypothesis testing: Keep it maximal. , 2013, Journal of memory and language.

[8]  David M. Simcha,et al.  Tackling the widespread and critical impact of batch effects in high-throughput data , 2010, Nature Reviews Genetics.

[9]  M. Newton Large-Scale Simultaneous Hypothesis Testing: The Choice of a Null Hypothesis , 2008 .

[10]  J. Pritchard,et al.  Confounding from Cryptic Relatedness in Case-Control Association Studies , 2005, PLoS genetics.

[11]  B. Efron Large-Scale Simultaneous Hypothesis Testing , 2004 .