Tobías, A, Armstrong, B and Gasparrini, A. 2017. R Code and Data for: "Investigating Uncertainty in the Minimum Mortality Temperature: Methods and Application to 52 Spanish Cities". [Online]. Github. Available from: https://github.com/gasparrini/2017_tobias_Epidem_Rcodedata
Tobías, A, Armstrong, B and Gasparrini, A. R Code and Data for: "Investigating Uncertainty in the Minimum Mortality Temperature: Methods and Application to 52 Spanish Cities" [Internet]. Github; 2017. Available from: https://github.com/gasparrini/2017_tobias_Epidem_Rcodedata
Tobías, A, Armstrong, B and Gasparrini, A (2017). R Code and Data for: "Investigating Uncertainty in the Minimum Mortality Temperature: Methods and Application to 52 Spanish Cities". [Data Collection]. Github. https://github.com/gasparrini/2017_tobias_Epidem_Rcodedata
Description
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. The material: london.csv stores the dataset used in the illustrative examples; findmin.R is the R function computing the MMT and related uncertainty; example.R is the R code illustrating an example; and sim.R is R code reproducing the results of the simulation study.
Keywords
| Data capture method | Compilation/Synthesis |
|---|---|
| Date (Date published in a 3rd party system) | 15 January 2017 |
| Language(s) of written materials | English |
| Data Creators | Tobías, A, Armstrong, B and 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 | 13 Dec 2018 12:24 |
|---|---|
| Last Modified | 08 Jul 2021 12:52 |
| Publisher | Github |
