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On the use of historical estimates

The use of historical, i.e., already existing, estimates in current studies is common in a wide variety of application areas. Nevertheless, despite their routine use, the uncertainty associated with historical estimates is rarely properly accounted for in the analysis. In this communication, we revi...

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Detalles Bibliográficos
Autores principales: Davidov, Ori, Rudas, Tamás
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821390/
https://www.ncbi.nlm.nih.gov/pubmed/36643817
http://dx.doi.org/10.1007/s00362-022-01375-z
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author Davidov, Ori
Rudas, Tamás
author_facet Davidov, Ori
Rudas, Tamás
author_sort Davidov, Ori
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description The use of historical, i.e., already existing, estimates in current studies is common in a wide variety of application areas. Nevertheless, despite their routine use, the uncertainty associated with historical estimates is rarely properly accounted for in the analysis. In this communication, we review common practices and then provide a mathematical formulation and a principled frequentist methodology for addressing the problem of drawing inferences in the presence of historical estimates. Three distinct variants are investigated in detail; the corresponding limiting distributions are found and compared. The design of future studies, given historical data, is also explored and relations with a variety of other well-studied statistical problems discussed.
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spelling pubmed-98213902023-01-09 On the use of historical estimates Davidov, Ori Rudas, Tamás Stat Pap (Berl) Regular Article The use of historical, i.e., already existing, estimates in current studies is common in a wide variety of application areas. Nevertheless, despite their routine use, the uncertainty associated with historical estimates is rarely properly accounted for in the analysis. In this communication, we review common practices and then provide a mathematical formulation and a principled frequentist methodology for addressing the problem of drawing inferences in the presence of historical estimates. Three distinct variants are investigated in detail; the corresponding limiting distributions are found and compared. The design of future studies, given historical data, is also explored and relations with a variety of other well-studied statistical problems discussed. Springer Berlin Heidelberg 2023-01-06 /pmc/articles/PMC9821390/ /pubmed/36643817 http://dx.doi.org/10.1007/s00362-022-01375-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Regular Article
Davidov, Ori
Rudas, Tamás
On the use of historical estimates
title On the use of historical estimates
title_full On the use of historical estimates
title_fullStr On the use of historical estimates
title_full_unstemmed On the use of historical estimates
title_short On the use of historical estimates
title_sort on the use of historical estimates
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821390/
https://www.ncbi.nlm.nih.gov/pubmed/36643817
http://dx.doi.org/10.1007/s00362-022-01375-z
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