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Bayesian methods for nonignorable dropout in joint models in smoking cessation studies
Inference on data with missingness can be challenging, particularly if the knowledge that a measurement was unobserved provides information about its distribution. Our work is motivated by the Commit to Quit II study, a smoking cessation trial that measured smoking status and weight change as weekly...
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| Publicat a: | J Am Stat Assoc |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2017
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5663304/ https://ncbi.nlm.nih.gov/pubmed/29104333 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2016.1167693 |
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