Quantifying stochastic uncertainty and presenting results of cost-effectiveness analyses
- 1 October 2001
- journal article
- Published by Taylor & Francis in Expert Review of Pharmacoeconomics & Outcomes Research
- Vol. 1 (1) , 25-36
- https://doi.org/10.1586/14737167.1.1.25
Abstract
In the last decade, major advances have been made in the statistical methods for quantifying uncertainty in stochastic cost-effectiveness studies. In this paper, we provide a guide to the literature in which we highlight the preferred methods for confidence interval estimation, new developments in the formulation of the cost-effectiveness problem, suggested ways for presenting results and the areas in which future research may develop. The overall approach taken is nontechnical, with an emphasis on graphical rather than algebraic presentation of methods.Keywords
This publication has 22 references indexed in Scilit:
- The Design and Analysis of Stochastic Cost-Effectiveness Studies for the Evaluation of Health Care InterventionsDrug Information Journal, 2001
- Incremental net benefit in randomized clinical trialsStatistics in Medicine, 2001
- Analysis, Sample Size, and Power for Estimating Incremental Net Health Benefit from Clinical Trial DataControlled Clinical Trials, 2001
- Use of an angular transformation for ratio estimation in cost-effectiveness analysisStatistics in Medicine, 2000
- Treatment of Early-Stage Breast Cancer in the ElderlyMedical Decision Making, 1998
- Estimating CE Ratios under Second-order UncertaintyMedical Decision Making, 1997
- Reporting cost-effectiveness analyses with confidencePublished by American Medical Association (AMA) ,1997
- Recommendations for Reporting Cost-effectiveness AnalysesJAMA, 1996
- Confidence intervals for cost-effectiveness ratios: An application of Fieller's theoremHealth Economics, 1996
- The CE PlaneMedical Decision Making, 1990