Squaring and summing these values will give the WSS for this data set. This allows the analyst to determine which line is contributing most to the overall WSS in multi-line data sets. In the case of Bayesian analysis it allows the analyst to see the contribution of the concentration data and contrast this with the contribution of the fitted parameter values. This includes calculated values for k10, k12, k21, V1, Vbeta, Vss, and total body clearance. Boomer will calculate AUC, AUMC, and MRT information for each data set line.
Data can be optionally output in printer plots.
These plots include linear and semi-log plots of observed and calculated y values versus x values, standardized weighted residuals versus x, and standardized weighted residuals versus calculated y values. The first two plots give the analyst a general 'feel' for the fit. Outliers may become obvious, systematic deviation between the observed and calculated data points may be obvious. The two residual plot can be very useful in the evaluation of the weighting scheme selected or the model selected. Again, all of the above output can directed to a disk file for inclusion, as a text file, into a report etc.