Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach

Implementing Multiple Imputation for Missing Data in Longitudinal Studies When Models are Not Feasible: An Example Using the Random Hot Deck Approach

Chinchin Wang,1,2 Tyrel Stokes,3 Russell J Steele,3 Niels Wedderkopp,4 Ian Shrier1 1Centre for Clinical Epidemiology, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, H3T 1E2, Canada; 2Department of Epidemiology, Biostatistics and Occupational Health, McGill Univer...

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Bibliographic Details
Main Authors: Wang C, Stokes T, Steele RJ, Wedderkopp N, Shrier I
Format: Article
Language:English
Published: Dove Medical Press 2022-11-01
Series:Clinical Epidemiology
Subjects:
multiple imputation
missing data
missing at random
hot deck imputation
random hot deck imputation
longitudinal studies
Online Access:https://www.dovepress.com/implementing-multiple-imputation-for-missing-data-in-longitudinal-stud-peer-reviewed-fulltext-article-CLEP

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https://www.dovepress.com/implementing-multiple-imputation-for-missing-data-in-longitudinal-stud-peer-reviewed-fulltext-article-CLEP

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