gasparrini/2017_lopezbernal_IJE_codedata
Lopez-Bernal, J
; Cummins, S and Gasparrini, A
(2020).
gasparrini/2017_lopezbernal_IJE_codedata.
[Dataset].
GitHub.
https://github.com/gasparrini/2017_lopezbernal_IJE_codedata
; Cummins, S and Gasparrini, A
(2020).
gasparrini/2017_lopezbernal_IJE_codedata.
[Dataset].
GitHub.
https://github.com/gasparrini/2017_lopezbernal_IJE_codedata
R and STATA code, as well as accompanying data, produced to accompany a tutorial on the use of interrupted time series (ITS) analysis in public health and epidemiological research, as described in an paper published in the International Journal of Epidemiology.
Alternative Title
R and STATA code for: "Interrupted time series regression for the evaluation of public health interventions: a tutorial"
Keywords
Interrupted time series; Tutorial; Public health intervention| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 11 September 2020 |
| Language(s) of written materials | English |
| Creator(s) |
Lopez-Bernal, J; Cummins, S and 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 | 21 Mar 2017 16:39 |
| Last Modified | 09 Oct 2026 13:11 |
| Publisher | GitHub |
| Available Versions of this Item |
|
No files available. Please consult associated links.
