ehm-lab/2017_tobias_Epidem_Rcodedata
A methodology to identify the minimum of an exposure-response relationship estimated from a regression model, and to quantify the related uncertainty through empirical standard errors and confidence intervals. The method is demonstrated in the following article that illustrates an application for investigating the minimum mortality temperature (MMT) in a set of cities in Spain: Tobias A, Armstrong B, Gasparrini A. Investigating uncertainty in the minimum mortality temperature: methods and application to 52 Spanish cities. Epidemiology. 2017;28(1):72-76. DOI: 10.1097/EDE.0000000000000567. PMID: 27748681.Note that the code includes an example replicating the analysis using data for London, as the original multi-city dataset cannot be made publicly available.
Alternative Title
Investigating uncertainty in the minimum mortality temperature
Keywords
Spain; Temperature-related mortality| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Compilation/Synthesis, Simulation, Other |
| 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 Public Health, Environments and Society |
| Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
| Date Deposited | 15 Oct 2026 09:19 |
| Last Modified | 20 Oct 2026 10:35 |
| Publisher | Github |
No files available. Please consult associated links.
- Github - Gasparrini repository (Data)
- Github - EHM Lab (Online Data Resource)