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Bayesian hierarchical models for smoothing in two-phase studies, with application to small area estimation
Two-phase study designs are appealing since they allow for the oversampling of rare sub-populations which improves efficiency. In this paper we describe a Bayesian hierarchical model for the analysis of two-phase data. Such a model is particularly appealing in a spatial setting in which random effec...
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| Vydáno v: | J R Stat Soc Ser A Stat Soc |
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| Hlavní autoři: | , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4687749/ https://ncbi.nlm.nih.gov/pubmed/26705382 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssa.12103 |
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