Reproducible Healthcare Simulations in Python and R (pythonhealthdatascience)

Reproducible Healthcare Simulations in Python and R

pythonhealthdatascience

Geek Repo

For the UKRI-funded project STARS: Sharing Tools and Artefacts for Reproducible Simulations

Home Page:https://gtr.ukri.org/projects?ref=MR%2FZ503915%2F1

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Reproducible Healthcare Simulations in Python and R's repositories

stars-eom-rcc

Modifications to the "Exeter Oncology Model: Renal Cell Carcinoma edition (EOM-RCC)" as part of STARS work package 3.

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stars-shiny-simmer

WORK IN PROGRESS: An example R shiny interface to a simmer DES model.

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stars-simpy-jupterlite

A template for Discrete-Event Simulation (DES) repositories that use JupyerLite and xeus-python to enable reproducible environments and models

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intro-open-sim

An introduction to building open Descrete-Event Simulation (DES) in Python

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stars-logo

STARS branding

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stars-publications

A list of all STARS publications including journals articles, conference papers, book chapters, pre-prints and presentations

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stars-reproduce-allen-2020

Test-run of our reproducibility protocol on Allen et al. 2020: "A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic"

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stars-reproduce-kim-2021

Assessing the computational reproducibility of Kim et al. 2021 as part of STARS.

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stars-treat-simmer

R Simmer implemention of the treatment simulation model

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introductory_foss_sim_tutorial_paper

Building Discrete-Event Simulation Models in Free and Open Source Software: An Introductory Tutorial (paper)

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stars-ciw-example

A treatment simulation model implemented in CiW

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stars-simpy-example-docs

STARS Project: Example `simpy` model documentation using JupyterBook, GitHub Pages, and STRESS

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stars-stlite-example

STARS Project: deploying a python DES model using stlite

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stars_reproduction_template

Template repository for assessing the computational reproducibility of simulation studies on STARS

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stars_wp1_summary

Summary of the eight computational reproducibility assessments conducted as part of STARS Work Package 1. These assessed discrete-event simulation papers with models in Python and R.

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stress_update

A review and update of the Strengthening the Reporting of Empirical Simulation Studies guidelines for DES, SD, and ABS.

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.github

GitHub profile

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stars-reproduce-lim-2020

Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.

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stars-streamlit-example

STARS Project: deploying a python DES model using streamlit

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stars-treat-sim

Implementation of python package for Nelson's (2013) treatment centre model

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stars_reproduction_protocol

Syncs with Overleaf Latex protocol on simulation reproduction

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pythonhealthdatascience.r-universe.dev

R universe management for STARS

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stars-reproduce-anagnostou-2022

Assessing the computational reproducibility of Anagnostou et al. 2022 as part of STARS.

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stars-reproduce-hernandez-2015

Assessing the computational reproducibility of Hernandez et al. 2015 as part of STARS.

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stars-reproduce-huang-2019

Assessing the computational reproducibility of Huang et al. 2019 as part of STARS.

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stars-reproduce-johnson-2021

Assessing the computational reproducibility of Johnson et al. 2021 as part of STARS.

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stars-reproduce-shoaib-2022

Assessing the computational reproducibility of Shoaib and Ramamohan 2022 as part of STARS.

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stars-reproduce-wood-2021

Assessing the computational reproducibility of Wood et al. 2021 as part of STARS.

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stars_wp3_summary

Reflections from prospective and retrospective application of the STARS framework

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