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Bayesian inference under cluster sampling with probability proportional to size
Cluster sampling is common in survey practice, and the corresponding inference has been predominantly design based. We develop a Bayesian framework for cluster sampling and account for the design effect in the outcome modeling. We consider a two-stage cluster sampling design where the clusters are f...
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| Pubblicato in: | Stat Med |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7993060/ https://ncbi.nlm.nih.gov/pubmed/29974495 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7892 |
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