Bayesian calculation detail
The "Bayesian Results" dialog displays several parameters which are used to evaluate the accuracy, reliability, and expected performance of the Bayesian derived model.
The first number displayed, labeled "Loop", indicates the number of loops through the Bayesian routine that were required to minimize the residual sum of squares (SS). A lower number indicates a better fit.
The first data pair, labeled SS, displays the residual sum of squares. This is an indicator of how well the Bayesian derived model fits the data. A Final SS that is close to zero indicates a good fit.
However, outputs are rarely so black and white, usually there are mixed signals. If most of these signals are negative, then the Bayesian derived model may not perform well. There may have been a problem with the serum level measurement in this patient. Obvious sources of error should be ruled out, such as: administration errors, lab draw errors, timing errors, etc. If no potential sources of error are found, there is a possibility that the patient may be an outlier. Regardless, these numbers are indicating that you should keep a close eye on this patient.
This page was last modified on November 08 2017