Representing uncertainty: the role of cost-effectiveness acceptability curves.

By E. Fenwick, K. Claxton, M. Sculpher. Health Economics, 2001

1,136 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Social Anxiety Disorder (2008, background): “The intervention with the highest NMB is the most cost-effective option (Fenwick et al., 2001).”
Cost-effectiveness acceptability curves--facts, fallacies and frequently asked questions. (2004, background): “[27].”
Good research practices for cost-effectiveness analysis alongside clinical trials: the ISPOR RCT-CEA Task Force report. (2005, background): “• Probability measures (e.g., acceptability curves) characterize the likelihood the new treatment will be deemed cost-effective based on the incremental costs and outcomes [80, 81 ].”
Assessing Evidence Inconsistency in Mixed Treatment Comparisons (2006, methodology): “…average smoking cessation rate on treatment X. MTC analyses have been embedded in cost-effectiveness models with realistic loss functions (e.g., Bridle et al. 2004), and Pr{X is most cost-effective} forms the basis for cost-effectiveness acceptability curves (Fenwick, Claxton, and Sculpher 2001).”
Mindfulness-based cognitive therapy to prevent relapse in recurrent depression. (2008, background): “Cost-effectiveness acceptability curves are presented by plotting these probabilities for a range of possible values of the ceiling ratio ( Fenwick, Claxton, & Sculpher, 2001 ).”