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Source: Department of Psychology, University of Notre Dame
Resulting in 1 citation.
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Wang, Lijuan Zhang, Zhiyong Tong, Xin |
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Mediation Analysis with Missing Data through Multiple Imputation and Bootstrap Working Paper, Department of Psychology, University of Notre Dame, January 2014 Cohort(s): Children of the NLSY79 Publisher: Department of Psychology, University of Notre Dame Keyword(s): Behavior Problems Index (BPI); Home Observation for Measurement of Environment (HOME); Missing Data/Imputation; Mothers, Education; Peabody Individual Achievement Test (PIAT- Math); Peabody Individual Achievement Test (PIAT- Reading); Statistical Analysis Permission to reprint the abstract has not been received from the publisher. A method using multiple imputation and bootstrap for dealing with miss- ing data in mediation analysis is introduced and implemented in SAS. Through simulation studies, it is shown that the method performs well for both MCAR and MAR data without and with auxiliary variables. It is also shown that the method works equally well for MNAR data if auxiliary vari- ables related to missingness are included. The application of the method is demonstrated through the analysis of a subset of data from the National Longitudinal Survey of Youth. |
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Bibliography Citation
Wang, Lijuan, Zhiyong Zhang and Xin Tong. "Mediation Analysis with Missing Data through Multiple Imputation and Bootstrap." Working Paper, Department of Psychology, University of Notre Dame, January 2014. |