Modeling observations with a detection limit using a truncated normal distribution with censoring

BACKGROUND: When data are collected subject to a detection limit, observations below the detection limit may be considered censored. In addition, the domain of such observations may be restricted; for example, values may be required to be non-negative. METHODS: We propose a method for estimating pop...

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Detalles Bibliográficos
Autores principales: Williams, Justin R., Kim, Hyung-Woo, Crespi, Catherine M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322891/
https://www.ncbi.nlm.nih.gov/pubmed/32600261
http://dx.doi.org/10.1186/s12874-020-01032-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7322891/
https://www.ncbi.nlm.nih.gov/pubmed/32600261
http://dx.doi.org/10.1186/s12874-020-01032-9

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