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Monte Carlo simulations are commonplace in quantitative risk assessments (QRAs). Designed to propagate the variability and uncertainty associated with each individual exposure input parameter in a quantitative risk assessment, Monte Carlo methods statistically combine the individual parameter distributions to yield a single, overall distribution. Critical(More)
In the process of designing a clinical trial, the accuracy and precision of an endpoint is of critical importance in being able to determine valid results. In the creation and subsequent testing of the validity of an endpoint, it is desirable to show that on repeated measurements the endpoint can be measured precisely, and that it is reproducible with not(More)
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