Graduate Certificate Programme in Health Economic Evaluation
Date duration
Application Date
1 Oct 2024 to 6 Jan 2025
Programme Period
3 Feb 2025 to 28 Nov 2025
Delivery mode
Program Description
The Graduate Certificate in Health Economic Evaluation program consists of 4 courses with a total of 16 units.
| Course |
Descripton |
|
GMS5221 |
Introduction to Health Econometrics
|
|
GMS5222 |
Introduction to Health Economic Modelling
|
|
GMS5223 |
Advanced Health Econometrics
|
|
GMS5224 |
Advanced Health Technology Assessment Methods
|
Core Courses
GMS5221
Introduction to Health Econometrics
This course aims to equip students with fundamental knowledge in econometric methods commonly applied in health economics and outcomes research (HEOR). These methods are used to evaluate effectiveness of technologies, assess policies for select products/services, and quantify disease burden using real world evidence data. The course begins with basic statistical theory review and econometric analysis with the simple linear regression model in order to develop a foundational understanding of data analysis, model building, and hypothesis testing. We then extend the analyses to include multivariate controls and binary outcomes. All examples will be based on real world applications
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GMS5222
Introduction to Health Economic Modelling
This course aims to equip students with basic skills required to perform their own cost-effectiveness analyses of health technologies and to critically assess the quality of evaluations conducted by others. This course introduces students to key concepts of economic evaluation and decision-analytic modelling, and covers methods for measuring and valuing health gains and costs. We focus on two models commonly used in cost-effectiveness analyses in healthcare: namely decision trees and Markov models. The course will include hands-on-training on building and analysing both types of models in Microsoft Excel so students understand how to implement these methods from first principles
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GMS5223
Advanced Health Econometrics
This advanced course expands students’ econometric toolset in two key areas of HEOR: (1) modelling discrete outcomes, such as number of admissions and lengths of stay, and (2) modelling censored and non-normally distributed outcomes, such as medical expenditures. Estimation of these outcomes requires a movement away from traditional ordinary least squares (OLS) regression analysis. This course will focus on generalized linear models, count models, and models that deal with data with mass at zero or with long tails. This course will also expand on techniques for causal inference, including fixed/random effect panel models, difference-in-differences, and regression discontinuity designs in efforts to minimize biases inherent in real-word evidence data.
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GMS5224
Advanced Health Technology Assessment Methods
Building on key concepts introduced in the first course, this course moves students from modelling in Excel, which is necessary to ensure a basic understanding of cost-effectiveness analysis, to modelling in TreeAge Pro, which is a specialized software that offers a range of built-in functions for more sophisticated models that are easier to produce than coding in Excel although often with less transparency. Using TreeAge Pro we will expose students to probabilistic sensitivity analyses, cost-effectiveness acceptability curves, and more sophisticated modelling strategies, including microsimulation and time-to-event models.
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Individual course costs $5,400.00 subject to prevailing GST. Do also refer to the HEOR website for more information.
Note
- Student Service Fee (SSF): Students are required to pay an additional SGD25.70 per semester. In the event that students do not take any courses that semester, they would not have to pay this fee.
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Please note that the Tuition Fee and Student Services Fee (SSF) are non-refundable and non-transferable.
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All requests for withdrawal must be received 6 weeks before the start of the course. Late withdrawals will be subjected to payment of the FULL course fees. Any access to learning materials (online preparatory materials and course materials) will be considered as participation and no refunds will be allowed.