Analyzing Coarsened and Missing Data by Imputation Methods.

ABSTRACT: In various missing data problems, values are not entirely missing, but are coarsened. For coarsened observations, instead of observing the true value, a subset of values - strictly smaller than the full sample space of the variable - is observed to which the true value belongs. In our motivating example for patients with endometrial carcinoma, the degree of lymphovascular space invasion (LVSI) can be either absent, focally present, or substantially present. For a subset of individuals, however, LVSI is reported as being present, which includes both non-absent options. In the analysis of such a dataset, difficulties arise when coarsened observations are to be used in an imputation procedure. To our knowledge, no clear-cut method has been described in the literature on how to handle an obser

SUBMITTER: van der Burg LLJ 

PROVIDER: S-EPMC11881681 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature