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Pattern Recognition of Longitudinal Trial Data with Nonignorable Missingness: An Empirical Case Study
Methods for identifying meaningful growth patterns of longitudinal trial data with both nonignorable intermittent and drop-out missingness are rare. In this study, a combined approach with statistical and data mining techniques is utilized to address the nonignorable missing data issue in growth pat...
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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2844665/ https://ncbi.nlm.nih.gov/pubmed/20336179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1142/S0219622009003508 |
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