Statistical resolutions for large variabilities in hair mineral analysis

Measuring biomaterials is usually subject to error. Measurement errors are classified into either random errors or biases. Random errors can be well controlled using appropriate statistical methods. But, biases due to unknown, unobserved, or temporary causes, may lead to biased conclusions. This stu...

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Detalles Bibliográficos
Autores principales: Nakamura, Tsuyoshi, Yamada, Tomomi, Kataoka, Koshi, Sera, Koichiro, Saunders, Todd, Takatsuji, Toshihiro, Makie, Toshio, Nose, Yoshiaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306225/
https://www.ncbi.nlm.nih.gov/pubmed/30586366
http://dx.doi.org/10.1371/journal.pone.0208816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6306225/
https://www.ncbi.nlm.nih.gov/pubmed/30586366
http://dx.doi.org/10.1371/journal.pone.0208816

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