https://github.com/roche/descem
R package that facilitates the use of discrete event simulations without resource constraints for cost-effectiveness analysis.
https://github.com/roche/descem
health-economic-evaluation health-economics hta r survival-analysis
Last synced: 5 months ago
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R package that facilitates the use of discrete event simulations without resource constraints for cost-effectiveness analysis.
- Host: GitHub
- URL: https://github.com/roche/descem
- Owner: Roche
- License: apache-2.0
- Created: 2021-10-21T11:03:36.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2022-07-26T10:20:44.000Z (almost 4 years ago)
- Last Synced: 2025-09-19T17:49:44.343Z (9 months ago)
- Topics: health-economic-evaluation, health-economics, hta, r, survival-analysis
- Language: R
- Homepage: https://roche.github.io/descem
- Size: 6.61 MB
- Stars: 2
- Watchers: 3
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.Rmd
- License: LICENSE
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README
---
output: github_document
always_allow_html: true
---
# descem: Discrete Event Simulation for Cost-Effectiveness Modeling
## Introduction
`descem` is a user-friendly package that facilitates the use of discrete event simulations without resource constraints for cost-effectiveness analysis.
The package supports a flexible, practical approach to discrete event simulation while keeping an acceptable performance through the use of parallel computing.
The current version supports:
* Discrete event simulation models, Markov/semi-Markov models and hybrid models
* Seamlessly integrating data.frames and other objects into the model
* Delayed execution of the main inputs to facilitate readability of the model
* Debugging mode with a non-parallel engine to facilitate error detection
* Implementation of structural and parameter uncertainty
* Helper functions to facilitate drawing of time to events and the use of hazard ratios
* Performing cost-effectiveness and uncertainty analysis
It is recommended that the user checks the vignettes, first the simple Sick-Sicker-Dead model [Sick-Sicker-Dead model](https://roche.github.io/descem/articles/example_ssd.html) and then the more complex model for [early breast cancer](https://roche.github.io/descem/articles/example_eBC.html). The [markov](https://roche.github.io/descem/articles/example_markov.html) example shows how to run a cohort Markov model while using the same modeling framework. Similarly, a simulation based Markov model could be run. Structural and parametric uncertainty are explored in the [corresponding vignette](https://roche.github.io/descem/articles/example_uncertainty.html). The [IPD vignette](https://roche.github.io/descem/articles/example_ipd.html) shows how descem can be used when individual patient data is available.
## Documentation
Have a look at the [package home site](https://roche.github.io/descem/index.html) for more details on documentation and specific tutorials.
For more details on the code, check our [Github repository](https://github.com/Roche/descem).
## Installation
`descem` can the be installed directly from this repo via
``` r
# install.packages("devtools")
devtools::install_github("roche/descem", ref="main")
```
## Citation
If you use `descem`, please contact the authors for the most up to date appropiate citation.