The University of Southampton
×
Filter your search:
University of Southampton Institutional Repository

CLAHRCWessex/ed_consultant_ITS: v1.0.0

CLAHRCWessex/ed_consultant_ITS: v1.0.0
CLAHRCWessex/ed_consultant_ITS: v1.0.0
Supporting R and Python code for the publication Penn, M., Monks, T., Pope, C., & Clancy, M. (2018). A mixed methods study of the impact of consultant overnight working in an English Emergency Department. Emergency Medicine Journal, 1-5. DOI: 10.1136/emermed-2018-207571 https://emj.bmj.com/content/36/5/298 Python code: pre-processing of emergency department data into time series used in an Interrupted Time Series Analysis. generation of all charts used in the publication R code: Interrupted Time Series Modelling and Sensitivity using Generalised Least Squares
Zenodo
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca

(2019) CLAHRCWessex/ed_consultant_ITS: v1.0.0. Zenodo doi:10.5281/zenodo.2652856 [Dataset]

Record type: Dataset

Abstract

Supporting R and Python code for the publication Penn, M., Monks, T., Pope, C., & Clancy, M. (2018). A mixed methods study of the impact of consultant overnight working in an English Emergency Department. Emergency Medicine Journal, 1-5. DOI: 10.1136/emermed-2018-207571 https://emj.bmj.com/content/36/5/298 Python code: pre-processing of emergency department data into time series used in an Interrupted Time Series Analysis. generation of all charts used in the publication R code: Interrupted Time Series Modelling and Sensitivity using Generalised Least Squares

This record has no associated files available for download.

More information

Published date: 27 April 2019

Identifiers

Local EPrints ID: 473241
URI: http://eprints.soton.ac.uk/id/eprint/473241
DOI: doi:10.5281/zenodo.2652856
PURE UUID: 454250c9-213a-47cd-a146-352e32202306
ORCID for Thomas Monks: ORCID iD orcid.org/0000-0003-2631-4481

Catalogue record

Date deposited: 12 Jan 2023 18:15
Last modified: 09 Aug 2023 17:11

Export record

Altmetrics

Contributors

Contributor: Thomas Monks ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Library staff additional information
Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×