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.

Subject headings

NATURVETENSKAP  -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)

NATURAL SCIENCES  -- Mathematics -- Probability Theory and Statistics (hsv//eng)

Keyword

Nonignorable dropout

Uncertainty region

Change-change analysis

Brain markers

Cognition

Publication and Content Type

ref (subject category)

art (subject category)