Sensitivity analysis on a chance node with more than two branches

Sensitivity analysis is an essential part of decision analysis. The literat ure on medical decision analysis suggests the use of two-branch chance node s in decision trees to avoid logical inconsistencies during sensitivity ana lysis. The authors show that the two-branch decomposition is not appropriat e for sensitivity analysis when multiple outcomes from a single state canno t be disentangled into a sensible sequence of events. They recommend retain ing the natural structure of the tree and propose two sensitivity analysis methods for use on chance nodes with three or more branches.