The estimation approach to inference emphasizes reporting effect sizes with expressions of
uncertainty (interval estimates). In this perspective we explain the estimation approach and …

A study with low statistical power has a reduced chance of detecting a true effect, but it is
less well appreciated that low power also reduces the likelihood that a statistically significant …

Recent events have led psychologists to acknowledge that the inherent uncertainty
encapsulated in an inductive science is amplified by problematic research practices. In this …

Traditionally, scientists have placed more emphasis on communicating inferential
uncertainty (ie, the precision of statistical estimates) compared to outcome variability (ie, the …

1. Button, KS et al. Power failure: why small sample size undermines the reliability of
neuroscience. Nature Rev. Neurosci. 14, 365–376 (2013). 2. Quinlan, PT Misuse of power …

Human neuroscience has always been pushing the boundary of what is measurable. During
the last decade, concerns about statistical power and replicability–in science in general, but …

Recently, evidence for endemically low statistical power has cast neuroscience findings into
doubt. If low statistical power plagues neuroscience, then this reduces confidence in the …

Abstract The US National Institute of Neurological Disorders and Stroke convened major
stakeholders in June 2012 to discuss how to improve the methodological reporting of animal …

Most statistical analyses use hypothesis tests or estimation about parameters to form
inferential conclusions. I think this is noble, but misguided. The point of view expressed here …

Widespread poor research practices raise difficult questions about how to bring about
improvements. Unfortunately, I believe that the Analysis article by Button et al.(Power failure …