Reproducibility
Contents
Reproducibility#
This section links the results section of the paper to the notebooks and code in the supplementary online Jupyter book that generated the numbers and charts. We have presented this by the numbered sections including tables and figures in the main text.
The current version of this page reflects the pre-print of the paper.
Monks, Thomas, and Alison Harper. 2023. “Computer Model and Code Sharing Practices in Healthcare Discrete-event Simulation: A Systematic Scoping Review.” OSF Preprints. June 5. doi:10.31219/osf.io/c4ytf.
4. Results#
All results are generated with pre-processed data that was extracted from papers and archived models. The script to pre-process the data can be found in the Pre-processing notebook
The code that generates the totals and formats the data so that it can be uploaded to the PRISMA Shiny App can be found in the PRISMA diagram notebook
4.1 Study characteristics#
The total number of studies broken down into COVID-19 and FOSS categories was generated by code in the Main Summary notebook
Descriptive statistics for DES software and languages used is generated in the Software notebook
4.3 What proportion of the studies used a reporting guideline?#
All code for the reporting guidelines descriptive statistics is generated in the Use of reporting guidelines notebook
4.5 To what extent do the DES health community follow best practice for open science when sharing models?#
The LaTeX for
Table 4: Best practice audit results
is generated in the Best Practice Audit: Overall Summary notebook