Bhaskaran, K, Gasparrini, A, Hajat, S, Smeeth, L and Armstrong, B. 2017. R code, Stata code and data for: "Time series regression studies in environmental epidemiology". [Online]. Github. Available from: https://github.com/gasparrini/2013_bhaskaran_IJE_Codedata
Bhaskaran, K, Gasparrini, A, Hajat, S, Smeeth, L and Armstrong, B. R code, Stata code and data for: "Time series regression studies in environmental epidemiology" [Internet]. Github; 2017. Available from: https://github.com/gasparrini/2013_bhaskaran_IJE_Codedata
Bhaskaran, K, Gasparrini, A, Hajat, S, Smeeth, L and Armstrong, B (2017). R code, Stata code and data for: "Time series regression studies in environmental epidemiology". [Data Collection]. Github. https://github.com/gasparrini/2013_bhaskaran_IJE_Codedata
Description
A tutorial on time series analysis applied to environmental epidemiology, with an example on the association of mortality with air pollution and temperature. The R code reproduces completely the example included in the accompanying article, illustrating the various analytical steps. Simple analyses with DLMs are also included, using functions in the R package dlnm. The material includes: [1] londondataset2002_2006.dta stores the dataset used in the illustrative examples in a Stata data format; [2] Rcode.R is the R code the reproduce the examples; [3] Statacode.do is the Stata code to reproduce the examples
| Data capture method | Other |
|---|---|
| Date (Date published in a 3rd party system) | 15 January 2017 |
| Language(s) of written materials | English |
| Data Creators | Bhaskaran, K, Gasparrini, A, Hajat, S, Smeeth, L and Armstrong, B |
|---|---|
| LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology 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 14:43 |
|---|---|
| Last Modified | 08 Jul 2021 12:52 |
| Publisher | Github |
