How to find nothing 2.0

Abstract

Various problematic statistical approaches can be used in regression analyses to help find no significant relationship between explanatory variables and response variables-"to find nothing." In an earlier paper, I provided examples of finding nothing from firearm studies, focusing on the lack of statistical power. In this Viewpoint, I offer three examples of "finding nothing" from firearms research and focus on a single hypothesis-that household gun ownership levels affect suicide rates, examining one type of evidence-cross-sectional ecological studies. I discuss studies examining variations in suicide rates across US states, US cities, and nations, highlighting the work of the one firearm researcher who continually "finds nothing."

Keywords: Firearms; Guns; Hypotheses testing; Multicollinearity; Suicide.