ehm-lab/2016_gasparrini_AJE_Rcodedata
(2025).
ehm-lab/2016_gasparrini_AJE_Rcodedata.
[Dataset].
Github.
https://github.com/ehm-lab/2016_gasparrini_AJE_Rcodedata
An application of time-varying distributed lag non-linear models (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 shows how to model within-season variations, partly reproducing the analysis described in the article: Gasparrini A, Guo Y, Hashizume M, Lavigne E, Tobias A, Zanobetti A, Schwartz J, Leone M, Michelozzi P, Haidong Kan, Tong S, Honda Y, Kim H, Armstrong BG. Changes in susceptibility to heat during the summer: a multi-country analysis. American Journal of Epidemiology. 2016;183(11):1027-1036. DOI: 10.1093/aje/kwv260. PMID: 27188948.
Keywords
Distributed Lag Non-Linear Models| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Software R script |
| Capture method | 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 | 09 Oct 2026 09:43 |
| Last Modified | 09 Oct 2026 09:43 |
| Publisher | Github |
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