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A Tractable Method to Account for High-dimensional Nonignorable Missing Data in Intensive Longitudinal Data
Despite the need for sensitivity analysis to nonignorable missingness in intensive longitudinal data (ILD), such analysis is greatly hindered by novel ILD features, such as large data volume and complex nonmonotonic missing-data patterns. Likelihood of alternative models permitting nonignorable miss...
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| Publicado no: | Stat Med |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7415513/ https://ncbi.nlm.nih.gov/pubmed/32367549 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8560 |
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