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Article

Multiple imputation methods for longitudinal blood pressure measurements from the Framingham Heart Study.

BMC genetics - 31 Dec 2003

Kang Terri, Kraft Peter, Gauderman W James, Thomas Duncan

Abstract excerpt

Missing data are a great concern in longitudinal studies, because few subjects will have complete data and missingness could be an indicator of an adverse outcome. Analyses that exclude potentially informative observations due to missing data can be inefficient or biased. To assess the extent of these problems in the context of genetic analyses, we compared case-wise deletion to two multiple imputation methods...

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Identifiers

PMID: 14975111
DOI: 10.1186/1471-2156-4-S1-S43
PMCID: PMC1866479

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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