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Modeling Change in the Presence of Non-Randomly Missing Data: Evaluating A Shared Parameter Mixture Model
In longitudinal research, interest often centers on individual trajectories of change over time. When there is missing data, a concern is whether data are systematically missing as a function of the individual trajectories. Such a missing data process, termed random coefficient-dependent missingness...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2014
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4084916/ https://ncbi.nlm.nih.gov/pubmed/25013354 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2014.882666 |
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