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Replication materials for "Cost-effectiveness of expanding the capacity of opioid agonist treatment in Ukraine: Dynamic modeling analysis" (Addiction, 2019)

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Replication materials

This repository contains replication materials for "Cost-effectiveness of expanding the capacity of opioid agonist treatment in Ukraine: Dynamic modeling analysis" by Olga Morozova, Forrest W. Crawford, Ted Cohen, A. David Paltiel, and Frederick L. Altice.

Citation

Morozova O., Crawford F.W., Cohen T., Paltiel A.D., Altice F.L. Cost-effectiveness of expanding the capacity of opioid agonist treatment in Ukraine: Dynamic modeling analysis. Addiction 2020; 115(3): 437-450.

How to run the code

The code is written in R statistical computing environment (R Foundation for Statistical Computing; Vienna, Austria 2017) and uses functions from the packages dplyr and deSolve.

The functions used to conduct the data analysis presented in the paper are included in the file oat_capacity_functions.R To use these functions, download, open and run this file. Comments in the code provide details about the inputs and outputs of each function.

The R dataframe files smpl_joint_same50K.Rdata, smpl_joint_kyiv50K.Rdata, smpl_joint_lviv50K.Rdata, and smpl_joint_mykolaiv50K.Rdata contain samples from the joint distribution of model parameters and can be used to replicate the results presented in the paper.

View the replication document

Download and open the file oat_capacity_replication_code.pdf for replication guidelines and examples.

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Replication materials for "Cost-effectiveness of expanding the capacity of opioid agonist treatment in Ukraine: Dynamic modeling analysis" (Addiction, 2019)

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