The impact of different censoring methods for analyzing survival using real-world data with linked mortality information: a simulation study
Researchers should consider the completeness of linked external mortality information when choosing how to censor the analysis of overall survival using RWD. Substantial bias in median survival estimates can occur if an inappropriate censoring scheme is selected. We advocate for RWD providers to perform validation studies of their mortality data and publish their findings to inform methodological decisions better.
Authors
- Craig S. Parzynski (ORCID: https://orcid.org/0000-0002-6178-4043)
- Aaron Crowley (ORCID: https://orcid.org/0000-0002-1203-9223)
- Wei‐Chun Hsu
Institutions
- Stevens Institute of Technology (US)
- Genesis Research Institute (JP)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1186/s12874-024-02313-3
- Citations
- 7
- Primary Topic
- Insurance, Mortality, Demography, Risk Management
- Type
- article
- Field-Weighted Citation Impact
- 11.95