ehm-lab/2017_lopezbernal_IJE_codedata
Gasparrini, A
(2025).
ehm-lab/2017_lopezbernal_IJE_codedata.
[Dataset].
GitHub.
https://github.com/ehm-lab/2017_lopezbernal_IJE_codedata
(2025).
ehm-lab/2017_lopezbernal_IJE_codedata.
[Dataset].
GitHub.
https://github.com/ehm-lab/2017_lopezbernal_IJE_codedata
A tutorial on the use of interrupted time series (ITS) analysis in public health and epidemiological research. The code follows the examples illustrated in the following article that describes the most common steps in the application of the ITS design: Lopez Bernal J, Cummins S, Gasparrini. Interrupted time series regression for the evaluation of public health interventions: a tutorial. International Journal of Epidemiology. 2017;46(1):348-355. DOI: 10.1093/ije/dyw098. PMID: 27283160.
Keywords
Interrupted time series; Tutorial; Public health intervention| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Simulation |
| Date | 16 April 2025 |
| Language(s) of written materials | English |
| Creator(s) |
Gasparrini, A
|
| LSHTM Faculty/Department |
Faculty of Public Health and Policy > Dept of Health Services Research and Policy Faculty of Public Health and Policy > Dept of Public Health, Environments and Society |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Funders |
Project Funder Grant Number Funder URI The application of interrupted time series designs for the evaluation of public health interventions MR/L011891/1 http://dx.doi.org/10.13039/501100000265 |
| Date Deposited | 09 Oct 2026 13:13 |
| Last Modified | 14 Oct 2026 13:09 |
| Publisher | GitHub |
| Available Versions of this Item |
|
No files available. Please consult associated links.
