Assumption-Agnostic Deep Learning Framework for Holistic Clinical Trial Monitoring
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Recently developed machine learning-enabled approaches to quality tolerance limit (QTL) surveillance offer efficiencies over labour-intensive source data verification. However, their reliance on parametric assumptions, restriction to Poisson or Bernoulli data ... ...