Inference for partial correlation when data are missing not at random
03 medical and health sciences
0302 clinical medicine
FOS: Mathematics
Mathematics - Statistics Theory
Statistics Theory (math.ST)
0101 mathematics
01 natural sciences
DOI:
10.1016/j.spl.2018.05.027
Publication Date:
2018-06-05T17:55:32Z
AUTHORS (2)
ABSTRACT
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.
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