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A General Statistical Framework for Multistage Designs
Stockholm University, Faculty of Science, Department of Mathematics.
Stockholm University, Faculty of Science, Department of Mathematics.
2012 (English)In: Scandinavian Journal of Statistics, ISSN 0303-6898, E-ISSN 1467-9469, Vol. 39, no 1, 131-152 p.Article in journal (Refereed) Published
Abstract [en]

The efficiency of observational studies may be increased by applying multistage sampling designs. It is, however, not always transparent how to construct such a design to obtain increased efficiency. We here present a general statistical framework for describing and constructing multistage designs. We also provide tools for efficiency and cost-efficiency comparisons, to facilitate the choice of sampling scheme. The comparisons are based on Fisher information matrices and the results are presented in graphs, where either efficiency or cost-adjusted efficiency is plotted against a normalized measure of cost. The former curve resides in the unit square and is analogous to the receiver operating characteristic curve used for testing.

Place, publisher, year, edition, pages
2012. Vol. 39, no 1, 131-152 p.
Keyword [en]
cost-efficiency, efficient design, Fisher information, hierarchical multistage model, multistage sampling
National Category
Mathematics
Identifiers
URN: urn:nbn:se:su:diva-76960DOI: 10.1111/j.1467-9469.2011.00745.xISI: 000300669200008OAI: oai:DiVA.org:su-76960DiVA: diva2:535277
Note
2Available from: 2012-06-19 Created: 2012-05-28 Last updated: 2017-12-07Bibliographically approved

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