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Bayesian Network Multimorbidity Models in COVID-19 Mortality
Clusters of multimorbidities indicate common molecular and physiological causal mechanisms, which can help to identify promising targets for novel drugs and treatments. We analyzed the comorbidities for COVID-19 death cases ...
Bayesian Analysis of Multi-Target Genetic Markers Using Hierarchical Phenotypic Data
Hierarchical data is ubiquitous in healthcare, but taking advantage of hierarchic information is still an open problem. We demonstrate the strengths and weaknesses of Bayesian multilevel analysis (BMLA) in this scenario ...