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Explicating the Conditions Under Which Multilevel Multiple Imputation Mitigates Bias Resulting from Random Coefficient-Dependent Missing Longitudinal Data
Author(s) -
Nisha C. Gottfredson,
Sonya K. Sterba,
Kristina M. Jackson
Publication year - 2017
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/qv74-2p95
Subject(s) - missing data , imputation (statistics) , statistics , multilevel model , longitudinal data , random effects model , econometrics , mathematics , computer science , data mining , medicine , meta analysis

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