Ontology highlight
ABSTRACT:
SUBMITTER: Beesley LJ
PROVIDER: S-EPMC8595557 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature
Beesley Lauren J LJ Taylor Jeremy M G JMG
Statistics in medicine 20210829 27
Not-at-random missingness presents a challenge in addressing missing data in many health research applications. In this article, we propose a new approach to account for not-at-random missingness after multiple imputation through weighted analysis of stacked multiple imputations. The weights are easily calculated as a function of the imputed data and assumptions about the not-at-random missingness. We demonstrate through simulation that the proposed method has excellent performance when the miss ...[more]