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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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Bibliografski detalji
Izdano u:Struct Equ Modeling
Glavni autori: Ji, Linying, Chow, Sy-Miin, Schermerhorn, Alice C., Jacobson, Nicholas C., Cummings, E. Mark
Format: Artigo
Jezik:Inglês
Izdano: 2018
Teme:
Online pristup: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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