Survival analysis under imperfect record linkage using historic census data.

ABSTRACT:

Background

Advancements in linking publicly available census records with vital and administrative records have enabled novel investigations in epidemiology and social history. However, in the absence of unique identifiers, the linkage of the records may be uncertain or only be successful for a subset of the census cohort, resulting in missing data. For survival analysis, differential ascertainment of event times can impact inference on risk associations and median survival.

Methods

We modify some existing approaches that are commonly used to handle missing survival times to accommodate this imperfect linkage situation including complete case analysis, censoring, weighting, and several multiple imputation methods. We then conduct simulation studies to compare the performance

SUBMITTER: Marks-Anglin AK 

PROVIDER: S-EPMC10935812 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature