Conventional and Bayesian workflows for clinical prediction modelling of severe Covid-19 outcomes based on clinical biomarker test results: LabMarCS: Laboratory Markers of COVID-19 Severity - Bristol Cohort (2022)

First Author: Sullivan B

Attributed to: Improving empiric antibiotic prescribing by applying a Bayesian decision theory approach to phenotypic and genomic resistance data. funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1101/2022.09.16.22279985

Publication URI: http://dx.doi.org/10.1101/2022.09.16.22279985

Type: Preprint