Multiple Imputation When Rate Of Change Is The Outcome Of Interest
Journal of modern applied statistical methods : JMASM(2016)
摘要
Little research has been devoted to multiple imputation (MI) of derived variables. This study investigates various MI approaches for the outcome, rate of change, when the analysis model is a two-stage linear regression. Simulations showed that competitive approaches depended on the missing data mechanism and presence of auxiliary terms.
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关键词
Multiple imputation,derived variables,active imputation,passive imputation,mixed effects model,two-stage linear regression,slope
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