Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources

Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources

Abstract Background Medical decision making based on quantitative test results depends on reliable reference intervals, which represent the range of physiological test results in a healthy population. Current methods for the estimation of reference limits focus either on modelling the age-dependent...

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Bibliographic Details
Main Authors: Tobias Hepp, Jakob Zierk, Manfred Rauh, Markus Metzler, Andreas Mayr
Format: Article
Language:English
Published: BMC 2020-11-01
Series:BMC Bioinformatics
Subjects:
Latent class regression
Finite mixture models
Distributional regression
Reference limits
Online Access:http://link.springer.com/article/10.1186/s12859-020-03853-3

Internet

http://link.springer.com/article/10.1186/s12859-020-03853-3

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