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Conditional modeling of longitudinal data with terminal event
We consider a random effects model for longitudinal data with the occurrence of an informative terminal event that is subject to right censoring. Existing methods for analyzing such data include the joint modeling approach using latent frailty and the marginal estimating equation approach using inve...
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| Publicado no: | J Am Stat Assoc |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6402357/ https://ncbi.nlm.nih.gov/pubmed/30853735 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1255637 |
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