Gasparrini, A and Armstrong, B. 2017. R code and data for: "Reducing and meta-analysing estimates from distributed lag non-linear models". [Online]. Github. Available from: https://github.com/gasparrini/2013_gasparrini_BMCmrm_Rcodedata
Gasparrini, A and Armstrong, B. R code and data for: "Reducing and meta-analysing estimates from distributed lag non-linear models" [Internet]. Github; 2017. Available from: https://github.com/gasparrini/2013_gasparrini_BMCmrm_Rcodedata
Gasparrini, A and Armstrong, B (2017). R code and data for: "Reducing and meta-analysing estimates from distributed lag non-linear models". [Data Collection]. Github. https://github.com/gasparrini/2013_gasparrini_BMCmrm_Rcodedata
Description
An illustration on methods for reducing estimates of bi-dimensional exposure-lag-response associations obtained by DLNMs from multiple studies, and then pooling them. The example reproduces the example included in the paper: Gasparrini A, Armstrong B. Reducing and meta-analysing estimates from distributed lag non-linear models. BMC Medical Research Methodology. 2013;13(1):1. The code set contains the following: [1] regEngWales.csv stores the daily time series data from 10 locations corresponding to regions of England and Wales in the period 1993–2006; [2] the numbered files from 01.prep.R to 06.metareg.R reproduce the results of the illustrative example. The code uses functions in the R packages dlnm and mvmeta.
| Data Creators | Gasparrini, A and Armstrong, B |
|---|---|
| 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 15:43 |
|---|---|
| Last Modified | 08 Jul 2021 12:52 |
| Publisher | Github |
