refineR: A Novel Algorithm for Reference Interval Estimation from Real-World Data

Abstract Reference intervals are essential for the interpretation of laboratory test results in medicine. We propose a novel indirect approach to estimate reference intervals from real-world data as an alternative to direct methods, which require samples from healthy individuals. The presented refin...

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Autores principales: Tatjana Ammer, André Schützenmeister, Hans-Ulrich Prokosch, Manfred Rauh, Christopher M. Rank, Jakob Zierk
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/e221b54fbd294da994f4057aa0be46c4
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