Work

Multiple imputation of cognitive performance as a repeatedly measured outcome

Year: 2020

Type: article

Abstract: Longitudinal studies of cognitive performance are sensitive to dropout, as participants experiencing cognitive deficits are less likely to attend study visits, which may bias estimated associations between exposures of interest and cognitive decline. Multiple imputation is a powerful tool for handling missing data, however its use for missing cognitive outcome measures in longitudinal analyses remains limited.

Source: Carolina Digital Repository (University of North Carolina at Chapel Hill)

DOI: 10.17615/yq5t-6y09

Authors: Rawlings, Andreea Monica, Sharrett, Albert Richey, Gross, Alden Lawrence, Sang, Yingying, Bandeen-Roche, Karen Jean, Kucharska-Newton, Anna Maria, Deal, Jennifer Anne, Coresh, Josef, Wruck, Lisa Miller, Power, Melinda Carolyn, Palta, Priya, Griswold, Michael

Institution: University of North Carolina at Chapel Hill

Language: English

Topic: Statistical Methods and Bayesian Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W4298497673

FWCI:

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