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A sensitivity analysis approach for informative dropout using shared parameter models
Shared parameter models (SPMs) are a useful approach to addressing bias from informative dropout in longitudinal studies. In SPMs it is typically assumed that the longitudinal outcome process and the dropout time are independent, given random effects and observed covariates. However, this conditiona...
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| Publicat a: | Biometrics |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
John Wiley and Sons Inc.
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6739227/ https://ncbi.nlm.nih.gov/pubmed/30666621 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13027 |
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