These procedures included multi-way analyses based on trimmed means and winsorised variances as well as bootstrapping.
Note that as validation, the two-way and multi-way analyses are performed using only the first five samples and then the results for laminim-5 hMSC are projected onto the components defined by the first five cell populations.
We performed one-way sensitivity analyses on all model variables, as well as multi-way sensitivity analyses on selected variables.
One-way and multi-way sensitivity analyses.
Additional file 2: Table S2 illustrates the results of all one-way and multi-way sensitivity analyses conducted.
It is interesting to note the differences between the one-way and multi-way sensitivity analyses; the latter illustrates how the different variables interplay in their effects.
The tables below provide information on the parameters included in the probabilistic sensitivity analysis as well as additional results of the one-way and multi-way sensitivity analyses.
The results of the one-way and the probabilistic multi-way sensitivity analyses are shown in Figure 2 and Figure 3, respectively.
We performed one-way and multi-way sensitivity analyses to estimate the effect of various values for each parameter on incremental cost-effectiveness ratios.
In general, multi-way sensitivity analyses allowed less extreme (and more plausible changes) in individual variables while providing better visual fits to the data.
[6], [24], [25] Because of the uncertainties surrounding many of the values, multi-way sensitivity analyses were performed using Brigg's analysis of extremes method.[26].[26]
