Microsimulation Modeling for Health Decision Sciences Using R: A Tutorial.

ABSTRACT: Microsimulation models are becoming increasingly common in the field of decision modeling for health. Because microsimulation models are computationally more demanding than traditional Markov cohort models, the use of computer programming languages in their development has become more common. R is a programming language that has gained recognition within the field of decision modeling. It has the capacity to perform microsimulation models more efficiently than software commonly used for decision modeling, incorporate statistical analyses within decision models, and produce more transparent models and reproducible results. However, no clear guidance for the implementation of microsimulation models in R exists. In this tutorial, we provide a step-by-step guide to build microsimulation models

SUBMITTER: Krijkamp EM 

PROVIDER: S-EPMC6349385 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature