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Article

Missing values in longitudinal dietary data: a multiple imputation approach based on a fully conditional specification.

Statistics in medicine - 20 Dec 2009

Nevalainen Jaakko, Kenward Michael G, Virtanen Suvi M

Abstract excerpt

Multiple imputation (MI) has increasingly received attention as a flexible tool to resolve missing data problems both in observational and controlled studies. Our goal has been to develop a valid and efficient MI procedure for the Diabetes Prediction and Prevention Nutrition Study, in which the diet of a cohort of newborn children with HLA-DQB1-conferred susceptibility to type 1 diabetes is repeatedly measured by...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 19757484
DOI: 10.1002/sim.3731

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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