Threshold observation of a lognormal regression ($\mu =\log c+\sigma \alpha ,\beta =\sigma \gamma$)

Observing only whether a lognormally modelled output exceeds a known threshold produces a probit link. The latent location and slope are recovered by multiplying the probit coefficients by the known Gaussian scale and adding the log threshold to the intercept.