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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...
Autores principales: | Williams, Justin R., Kim, Hyung-Woo, Crespi, Catherine M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
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 |
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