Comparing Methods for Measurement Error Detection in Serial 24-h Hormonal Data

Measurement errors commonly occur in 24-h hormonal data and may affect the outcomes of such studies. Measurement errors often appear as outliers in such data sets; however, no well-established method is available for their automatic detection. In this study, we aimed to compare performances of diffe...

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Detalles Bibliográficos
Autores principales: van der Spoel, Evie, Choi, Jungyeon, Roelfsema, Ferdinand, le Cessie, Saskia, van Heemst, Diana, Dekkers, Olaf M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
JBR Perspectives on Data Analysis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637814/
https://www.ncbi.nlm.nih.gov/pubmed/31187683
http://dx.doi.org/10.1177/0748730419850917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637814/
https://www.ncbi.nlm.nih.gov/pubmed/31187683
http://dx.doi.org/10.1177/0748730419850917

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