title: Primer on medical decision analysis: Part 4--Analyzing the model and interpreting the results.
abstract: This paper is the fourth of a five-part series that describes the principles of construction and evaluation of valid decision models. In this review, the authors describe the key principles of detecting and eliminating structural and programming errors in decision trees (debugging). In addition, they offer guidelines to facilitate the interpretation of analytic results of decision models.
authors.affiliation: University of Toronto Programme in Clinical Epidemiology and Health Care Research (The Toronto Hospital and The Sunnybrook Health Science Centre Units), Ontario, Canada.
authors.forename: M D
authors.initials: MD
authors.lastname: Krahn
authors.forename: G
authors.initials: G
authors.lastname: Naglie
authors.forename: D
authors.initials: D
authors.lastname: Naimark
authors.forename: D A
authors.initials: DA
authors.lastname: Redelmeier
authors.forename: A S
authors.initials: AS
authors.lastname: Detsky
mesh_terms: D003627:Data Interpretation, Statistical; D003658:Decision Making, Computer-Assisted; D003661:Decision Support Techniques; D003663:Decision Trees; D006801:Humans; D011336:Probability; D012984:Software