“…For example, the Impact Threshold for Confounding Variables (ITCV) does not control for the impact of unmeasured confounds on a focal association, but rather quantifies how powerful they must be to negate causal inference for that association. In a sense, it estimates a confidence interval for the inference (for original formulation, see Frank 2000; for applications, see Augustine, Cavanagh, and Crosnoe forthcoming; Cheng, Martin, and Werum 2007). The equation is the following: r x,y − r # x,y / 1 − r # x,y, where r # x,y = t / SQRT[( n − q − 1) + t 2 ], t is the critical t -value, n is the sample size, and q is the number of model parameters.…”