Please refer to each file to find the required packages prior to running the codes.
The R codes are self-contained.
Please make sure that all files are stored in the same folder.
The R is used in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis"
Please email author at rowan.iskandar@gmail.com for any questions.
Case study 1 is based on: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0205543
Case study 2 is based on: #Dong, Hengjin, and Martin Buxton. "Early assessment of the likely cost-effectiveness of a new technology: a Markov model with probabilistic sensitivity analysis of computer-assisted total knee replacement." International Journal of Technology Assessment in Health Care 22.2 (2006): 191-202.