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