Optimal two-stage sampling for mean estimation in multilevel populations when cluster size is informative

To estimate the mean of a quantitative variable in a hierarchical population, it is logistically convenient to sample in two stages (two-stage sampling), i.e. selecting first clusters, and then individuals from the sampled clusters. Allowing cluster size to vary in the population and to be related t...

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Detalles Bibliográficos
Autores principales: Innocenti, Francesco, Candel, Math JJM, Tan, Frans ES, van Breukelen, Gerard JP
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172256/
https://www.ncbi.nlm.nih.gov/pubmed/32940135
http://dx.doi.org/10.1177/0962280220952833

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8172256/
https://www.ncbi.nlm.nih.gov/pubmed/32940135
http://dx.doi.org/10.1177/0962280220952833

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