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Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets journals.plos.org/ploscompbiol...

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Random time-shift approximation enables hierarchical Bayesian inference of mechanistic within-host viral dynamics models on large datasets Author summary Understanding how viruses reproduce within an infected host is crucial for predicting disease progression and evaluating treatments. One way to study this is by using mathematical model... https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1013775