title: N-way sensitivity analysis: a verification and stability-assessment technique for completely subjective decision analysis trees.
abstract: The purpose of this paper is to describe the development of N-way sensitivity analysis, a modified version of traditional sensitivity analysis that was created for the purpose of verifying the stability of decisions made by a completely subjective decision-analytic tree. The technique was developed during research that addressed whether nurses make clinical decisions that coincide with those recommended by a decision-analytic model. Since all parameters of the model were derived from subjective assessment, traditional one-way or two-way sensitivity analysis was deemed inappropriate. Consequently, N-way sensitivity analysis was developed and used for the verification of the decision model's results.
authors.affiliation: College of Medicine, University of Illinois, Chicago.
authors.forename: C
authors.initials: C
authors.lastname: Hughes
authors.forename: K K
authors.initials: KK
authors.lastname: Hughes
mesh_terms: D000704:Analysis of Variance; D002755:Choice Behavior; D015400:Clinical Nursing Research / Q000295:instrumentation; D003663:Decision Trees; D006801:Humans; D015233:Models, Statistical; D009736:Nursing Process / Q000592:standards*; D011897:Random Allocation; D012015:Reference Standards; D015203:Reproducibility of Results