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Growth Modeling with Non-Ignorable Dropout: Alternative Analyses of the STAR*D Antidepressant Trial
This paper uses a general latent variable framework to study a series of models for non-ignorable missingness due to dropout. Non-ignorable missing data modeling acknowledges that missingness may depend on not only covariates and observed outcomes at previous time points as with the standard missing...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
2011
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3060937/ https://ncbi.nlm.nih.gov/pubmed/21381817 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1037/a0022634 |
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