Sensitivity analysis for unmeasured confounding

This sensitivity analysis quantifies how strong an omitted association must be to alter a causal conclusion.

A bivariate probit model for a binary treatment and outcome uses latent equationswhere $(U,V)$ has a bivariate normal distribution. Its correlation parameter represents dependence between the two latent disturbances; when nonzero, treatment is endogenous in the outcome equation.