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R code for the case study in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis."

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rowaniskandar/PBA

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PBA

Installation

Please refer to each file to find the required packages prior to running the codes.

R

The R codes are self-contained.

Please make sure that all files are stored in the same folder.

Usage

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.

References

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.

About author

https://vivo.brown.edu/display/riskanda

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R code for the case study in the manuscript titled "Probability bound analysis: A novel approach for quantifying parameter uncertainty in decision-analytic modeling and cost-effectiveness analysis."

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