Course Level: Advanced
Format Requirements: This course is designed for people with some familiarity with statistics and prospective economic data collection in trials.
Background: Prospective economic evaluation of clinical trials is an increasingly important component of the clinical development program for new clinical therapies (e.g., treatments, behavioral interventions, and drugs). The statistical methods used for analysis of economic data from prospective studies are constantly evolving. In this course, the faculty and participants will explore issues in the design and analysis of economic assessments in trials and introduce both standard and recently proposed statistical methods for these assessments. The course format is primarily didactic; its content is both theoretical and applied (with STATA 8.0 computer software documented to assist in use.
Description and Objectives:
- Design, implementation, and analysis issues
- Outline the steps in an economic evaluation and provide an understanding of the strategic issues in the design of economic assessments in clinical trials
- Evaluating patient-level medical costs
- Describe and illustrate issues related to choice of univariate and multivariate methods (OLS, log-OLS, GLM) for evaluating and reporting the effect of treatments on costs.
- Evaluating stochastic uncertainty in cost-effectiveness analysis
- Introduce the large number of methods available for reporting on stochastic uncertainty related to the comparison of costs and effects and highlight the preferred methods for confidence interval estimation
- This course is designed for people with some familiarity with statistics and prospective economic data collection in trials.