Analysis of Isocratic-Chromatographic-Retention Data using Bayesian Multilevel Modeling
Abstract
The objective of this work was to develop a multilevel (hierarchical) model based on isocratic-reversed-phase-high-performance-chromatographic data collected in methanol and acetonitrile for 58 chemical compounds. Such a multilevel model is a regression model of the analyte-specific chromatographic measurements, in which all the regression parameters are given a probability model. It is a fundamentally different approach from the most common...
Paper Details
Title
Analysis of Isocratic-Chromatographic-Retention Data using Bayesian Multilevel Modeling
Published Date
Oct 18, 2018
Journal
Volume
90
Issue
22
Pages
13670 - 13679
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History