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

Abstract 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 estimat...

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Bibliographic Details
Main Authors: Justin R. Williams, Hyung-Woo Kim, Catherine M. Crespi
Format: Article
Language:English
Published: BMC 2020-06-01
Series:BMC Medical Research Methodology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12874-020-01032-9

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