R code and data for: "Temporal Variation in Heat–Mortality Associations: A Multicountry Study"
; Guo, Y; Hashizume, M; Kinney, PL; Petkova, EP; Lavigne, E; Zanobetti, A; Schwartz, JD; Tobias, A; Leone, M; Tong, S; Honda, Y; Kim, H and Armstrong, BG
(2017).
R code and data for: "Temporal Variation in Heat–Mortality Associations: A Multicountry Study".
[Dataset].
Github.
https://github.com/gasparrini/2015_gasparrini_EHP_Rcodedata
An applications of time-varying DLNMs, specified through an interaction between cross-basis variables and the time variable, to model temporal variations in exposure-lag-response associations between heat and mortality in a multi-country multi-city (MCC) data set. Specifically, this application illustrates how to model long term variations, partly reproducing the analysis described in the associated article. Files include: [1] regEngWales.csv stores the daily time series data from 10 locations corresponding to regions of England and Wales in the period 1993--2006; and [2] the numbered files from 00.prepdata.R to 05.plots.R reproduce the results of an example with the subset of data
Keywords
Distributed lag nonlinear model| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | Other |
| Date | 5 December 2017 |
| Language(s) of written materials | English |
| Creator(s) |
Gasparrini, A; Guo, Y; Hashizume, M; Kinney, PL; Petkova, EP; Lavigne, E; Zanobetti, A; Schwartz, JD; Tobias, A; Leone, M; Tong, S; Honda, Y; Kim, H and Armstrong, BG
|
| 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 14:30 |
| Last Modified | 28 Apr 2026 10:05 |
| Publisher | Github |
No files available. Please consult associated links.
