Intermediate Course in Computer Simulation Modelling for Health Technology Assessment (HTA)

Objectives

This course is designed to provide students with hands-on experience in designing partitioned survival model and dynamic transmission modelling in R, as well as discrete event simulation in Simul8 for health technology assessment.

Learning Outcomes

By the end of the course, participants should be able to:

• Design a discrete event simulation and a dynamic transmission model to address policy or research questions related to HTA
• Apply best practices related to the use of computer simulation models in HTA, such as those issued by the International Society for Pharmacoeconomics and Outcomes Research or Society for Medical Decision Making

Prerequisites

• Proficiency in R is essential.
• Basic understanding of cost-effectiveness / cost-utility analysis is essential. Participants are expected to have prior experience with conducting cost-effectiveness analysis using Markov model.

Note

• Participants are required to bring over own laptop to the workshop.
• A 14-day online trial version of SIMUL8 will be provided to the participants for installation at the beginning of the workshop.
• Course will only take place upon receiving 15 confirmed registration or more.

Course Content

Venue

Level 10, Conference Room 1 and 2, Tahir Foundation Building (MD1), National University of Singapore

Course Lecturers

A/Prof Alex Cook

Domain Leader (Biostatistics & Modelling), NUS Saw Swee Hock School of Public Health

He works on infectious disease modelling and statistics, including dengue, influenza and other respiratory pathogens, and on population modelling to assess the effect of evolving demographics on non-communicable diseases such as diabetes. His multidisciplinary team brings together researchers from the fields of statistics, computational biology, computer engineering, mathematics, geography and environmental sciences. Read more.

Prof Alec Morton

Head of Department, Management Science, University of Strathclyde, Glasgow, United Kingdom

Prof Alec’s main interests are in decision analysis and health economics. He is on the Editorial Board of Decision Analysis and is an Associate Editor for the EURO Journal on Decision Processes, the Transactions of the Institute of Industrial Engineers, and OR Spectrum. His papers have won awards from the International Society for Pharmacoeconomics and Outcomes Research and the Society for Risk Analysis. His book Portfolio Decision Analysis with Jeff Keisler and Ahti Salo won the INFORMS Decision Analysis Society publication award in 2013 and his paper “CUT: A Multicriteria Approach for Concavifiable Preferences” (with Nikos Argyris and Jose Figueira) was a finalist for the same prize in 2016. Read more.

Course Fees: S$4,000 (excludes prevailing GST)

• Course fees include electronic lecture materials
• Closing date for registration: 14 Feb 2020
• Applications are based on first-come-first-served basis. Successful applicants will be informed by 21 Feb 2020
• Course fees must be received by 6 Mar 2020 to secure a place

Cancellation:

• Any cancellation must be conveyed to the course administrator in writing via email by 13 Mar 2020.
• No refunds will be given but replacement with another participant is permissible for cancellation received after 13 Mar 2020.

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