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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
Hlavní autoři: Ross, Michelle, Wakefield, Jon
Médium: Artigo
Jazyk:Inglês
Vydáno: 2015
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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