How to Analyze a Cost-Effectiveness Dataset: A Gentle Introduction
3-hour Beginner course:
1. Understand how to interpret the two main statistics in cost-effectiveness analysis (CEA)
2. Use regression to calculate the two main statistics in cost-effectiveness analysis (CEA)
3. Use regression to characterize their statistical uncertainty
This is a session for people who want to try to analyze a dataset with three variables (i.e., cost, outcome and treatment/intervention) to study the cost-effectiveness of the treatment/intervention. The introductory session will help you learn how to estimate two cost-effectiveness statistics and characterize their statistical uncertainty. While the class focuses on how to analyze a cost-effectiveness dataset with simple methods, the concepts and interpretations of findings almost completely carry over into the modeling world (e.g., Decision trees or Markov models).
There are no pre-requisites but if you would like to participate in the group exercises you should have a program like Excel, Stata, SAS, R or something similar that can do regression.
Register Here!
|
|
Regular Registration |
Late Registration (22-29 April) |
|
Regular Member |
149 |
179 |
|
Trainee/Student/LMIC/Bridge/Emeritus Member |
49 |
59 |
|
Non-Member |
375 |
450 |
Share
Quick Links
April 29 - April 29, 2025
MDM Journal
MDM offers rigorous and systematic approaches to decision making that are designed to improve the health and clinical care of individuals and to assist with health policy development.