A Multilevel Bayesian Approach to Improve Effect Size Estimation in Regression Modeling of Metabolomics Data Utilizing Imputation with Uncertainty

To ensure scientific reproducibility of metabolomics data, alternative statistical methods are needed. A paradigm shift away from the p-value toward an embracement of uncertainty and interval estimation of a metabolite’s true effect size may lead to improved study design and greater reproducibility....

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Detalles Bibliográficos
Autores principales: Gillies, Christopher E., Jennaro, Theodore S., Puskarich, Michael A., Sharma, Ruchi, Ward, Kevin R., Fan, Xudong, Jones, Alan E., Stringer, Kathleen A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465156/
https://www.ncbi.nlm.nih.gov/pubmed/32781624
http://dx.doi.org/10.3390/metabo10080319

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7465156/
https://www.ncbi.nlm.nih.gov/pubmed/32781624
http://dx.doi.org/10.3390/metabo10080319

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