  I present a frequentist method for quantifying uncertainty when correcting
correlations for attenuation due to measurement error. The method is
conservative but has far better coverage properties than the methods currently
used when sample sizes are small. I recommend the use of confidence curves in
favor of confidence intervals when this method is used. I introduce the R
package "attenuation" which can be used to calculate and visualize the methods
described in this paper.
