ABSTRACT
Once the model (relationship) between observations is obtained from bench (e.g., basic research discoveries) and bedside (e.g., clinic), it is of interest to evaluate the
accuracy and reliability of the translational process. A typical approach is to assess the closeness between the observed values from bedside and the predicted values based on the observations obtained from bench under the established model. For this purpose, the following four criteria are commonly considered: (1) mean squared error of the absolute difference between the observed values and the predicted values, (2) mean squared error of the relative difference between the predicted values and the observed values, (3) the probability that the absolute difference between the predicted value and the observed value is within a prespecified small number, (4) the probability that the relative difference between the predicted value and the observed value is within a prespecified small number. In this chapter, we will focus on the criteria based on the relative difference between the predicted value and the observed value (i.e., points (2) and (4)).
