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Inference for longitudinal data with nonignorable nonmonotone missing responses
For the analysis of longitudinal data with nonignorable and nonmonotone missing responses, a full likelihood method often requires intensive computation, especially when there are many follow-up times. The authors propose and explore a Monte Carlo method, based on importance sampling, for approximat...
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| Publicado no: | Comput Stat Data Anal |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4243943/ https://ncbi.nlm.nih.gov/pubmed/25435599 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2013.10.027 |
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