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Efficient Bayesian Joint Models for Group Randomized Trials with Multiple Observation Times and Multiple Outcomes
In this paper, we propose a Bayesian method for Group Randomized Trials (GRTs) with multiple observation times and multiple outcomes of different types. We jointly model these outcomes using latent multivariate normal linear regression, which allows treatment effects to change with time and accounts...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2012
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3892667/ https://ncbi.nlm.nih.gov/pubmed/22733563 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5414 |
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