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Hierarchical Bayes Approach to Estimate the Treatment Effect for Randomized Controlled Trials
One important issue in Bayesian estimation is the determination of an effective informative prior. In hierarchical Bayes models, the uncertainty of hyperparameters in a prior can be further modeled via their own priors, namely, hyper priors. This study introduces a framework to construct hyper prior...
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| Published in: | Educ Psychol Meas |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
SAGE Publications
2020
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7565114/ https://ncbi.nlm.nih.gov/pubmed/33116328 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0013164420909885 |
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