Multiple imputation validation study: addressing unmeasured survey data in a longitudinal design.

ABSTRACT:

Background

Questionnaires used in longitudinal studies may have questions added or removed over time for numerous reasons. Data missing completely at a follow-up survey is a unique issue for longitudinal studies. While such excluded questions lack information at one follow-up survey, they are collected at other follow-up surveys, and covariances observed at other follow-up surveys may allow for the recovery of the missing data. This study utilized data from a large longitudinal cohort study to assess the efficiency and feasibility of using multiple imputation (MI) to recover this type of information.

Methods

Millennium Cohort Study participants completed the 9-item Patient Health Questionnaire (PHQ) depression module at 2 time points (2004, 2007). The suicidal ideation item

SUBMITTER: Kolaja CA 

PROVIDER: S-EPMC7789687 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature