@article{marks-anglin_survival_2024,
	title = {Survival analysis under imperfect record linkage using historic census data},
	volume = {24},
	issn = {1471-2288},
	url = {https://doi.org/10.1186/s12874-024-02194-6},
	doi = {10.1186/s12874-024-02194-6},
	abstract = {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.},
	number = {1},
	urldate = {2025-10-23},
	journal = {BMC Medical Research Methodology},
	author = {Marks-Anglin, Arielle K. and Barg, Frances K. and Ross, Michelle and Wiebe, Douglas J. and Hwang, Wei-Ting},
	month = mar,
	year = {2024},
	keywords = {Censoring, Census data, Missing data, Record linkage, Survival analysis},
	pages = {67},
}

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