As clinical decision making gets ever more complex, new analytical approaches are being developed to help. Decision analysis is used to structure complex decision problems in an uncertain environment by systematically linking decision choices with expected outcomes. Such models can include the probabilities of outcomes, patient preferences and costs. These models can help to advise about therapeutic avenues. This paper examines the nature of decision analysis, and explores the pitfalls that arise in interpreting the findings from published studies.