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Handling Missing Data in the Modeling of Intensive Longitudinal Data
Myriad approaches for handling missing data exist in the literature. However, few studies have investigated the tenability and utility of these approaches when used with intensive longitudinal data. In this study, we compare and illustrate two multiple imputation (MI) approaches for coping with miss...
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| Publicado no: | Struct Equ Modeling |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6625802/ https://ncbi.nlm.nih.gov/pubmed/31303745 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2017.1417046 |
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