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A New Bayesian Joint Model for Longitudinal Count Data with Many Zeros, Intermittent Missingness, and Dropout with Applications to HIV Prevention Trials
In longitudinal clinical trials, it is common that subjects may permanently withdraw from the study (dropout), or return to the study after missing one or more visits (intermittent missingness). It is also routinely encountered in HIV prevention clinical trials that there is a large proportion of ze...
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| Pubblicato in: | Stat Med |
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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/PMC6891130/ https://ncbi.nlm.nih.gov/pubmed/31691322 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8379 |
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