Inference for partial correlation when data are missing not at random
  We introduce uncertainty regions to perform inference on partial correlations
when data are missing not at random. These uncertainty regions are shown to
have a desired asymptotic coverage. Their finite sample performance is
illustrated via simulations and real data example.
