@inproceedings{2588fdd75892416abe53dd3dbe1adcfb,
title = "Developing High-Quality Microsimulation Models Using R in Health Decision Sciences",
abstract = "Health decision science is a growing field that studies the use of population health data and advanced analytical tools to inform decisions. This paper describes several modeling approaches and programming languages widely used in health decision sciences. Special emphasis is put on the development of microsimulation models using R. A recent microsimulation model - Simulation for Health Improvement and Equity (SHINE) Model - is described to demonstrate the development of microsimulaiton models using R. Several practical recommendations for developing microsimulation models using R are proposed. This paper may serve as a practical guide for population health scientists and healthcare professionals to develop their own microsimulation models to inform complex health decisions.",
author = "Heesun Eom and Yan Li",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Winter Simulation Conference, WSC 2020 ; Conference date: 14-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
day = "14",
doi = "10.1109/WSC48552.2020.9384037",
language = "English",
series = "Proceedings - Winter Simulation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1167--1177",
editor = "K.-H. Bae and B. Feng and S. Kim and S. Lazarova-Molnar and Z. Zheng and T. Roeder and R. Thiesing",
booktitle = "Proceedings of the 2020 Winter Simulation Conference, WSC 2020",
address = "United States",
}