Gasparrini, A, Scheipl, F, Armstrong, B and Kenward, M. 2017. R code and data for: "A penalized framework for distributed lag non-linear models". [Online]. Github. Available from: https://github.com/gasparrini/2017_gasparrini_Biomet_Rcodedata
Gasparrini, A, Scheipl, F, Armstrong, B and Kenward, M. R code and data for: "A penalized framework for distributed lag non-linear models" [Internet]. Github; 2017. Available from: https://github.com/gasparrini/2017_gasparrini_Biomet_Rcodedata
Gasparrini, A, Scheipl, F, Armstrong, B and Kenward, M (2017). R code and data for: "A penalized framework for distributed lag non-linear models". [Data Collection]. Github. https://github.com/gasparrini/2017_gasparrini_Biomet_Rcodedata
Description
R code reproducing the results published in an article on the extension of distributed lag linear and non-linear models (DLMs and DLNMs) thorugh generalized additive models via penalized splines. The methodology is implemented by embedding functions in the R packages dlnm and mgcv. The code reproduces two examples of application in time series and survival analysis, respectively, and the results of the simulation study.
| Data capture method | Other |
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| Date (Date published in a 3rd party system) | January 2017 |
| Language(s) of written materials | English |
| Data Creators | Gasparrini, A, Scheipl, F, Armstrong, B and Kenward, M |
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| 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, Ludwig Maximilians University, Munich, Germany |
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| Date Deposited | 21 Mar 2017 10:19 |
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| Last Modified | 09 Jul 2021 11:22 |
| Publisher | Github |
