Using linked administrative data to aid the handling of non-response and restore sample representativeness in cohort studies: the 1958 national child development study and hospital episode statistics data.

ABSTRACT:

Background

There is growing interest in whether linked administrative data have the potential to aid analyses subject to missing data in cohort studies.

Methods

Using linked 1958 National Child Development Study (NCDS; British cohort born in 1958, n = 18,558) and Hospital Episode Statistics (HES) data, we applied a LASSO variable selection approach to identify HES variables which are predictive of non-response at the age 55 sweep of NCDS. We then included these variables as auxiliary variables in multiple imputation (MI) analyses to explore the extent to which they helped restore sample representativeness of the respondents together with the imputed non-respondents in terms of early life variables (father's social class at birth, cognitive ability at age 7) and relative to e

SUBMITTER: Rajah N 

PROVIDER: S-EPMC10638694 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature