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A Bayesian transition model for missing longitudinal binary outcomes and an application to a smoking cessation study
Smoking cessation intervention studies often produce data on smoking status at discrete follow-up assessments, often with missing data in different amounts at each assessment. Smoking status in these studies is a dynamic process with individuals transitioning from smoking to abstinent, as well as ab...
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| Pubblicato in: | Stat Modelling |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8043653/ https://ncbi.nlm.nih.gov/pubmed/33854408 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/1471082x18821489 |
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