R code and data for: "A penalized framework for distributed lag non-linear models"
Gasparrini, A
; Scheipl, F; Armstrong, B and Kenward, M
(2017).
R code and data for: "A penalized framework for distributed lag non-linear models".
[Dataset].
Github.
https://github.com/gasparrini/2017_gasparrini_Biomet_Rcodedata
; Scheipl, F; Armstrong, B and Kenward, M
(2017).
R code and data for: "A penalized framework for distributed lag non-linear models".
[Dataset].
Github.
https://github.com/gasparrini/2017_gasparrini_Biomet_Rcodedata
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.
Keywords
Distributed lag non-linear model; Generalized additive models| Item Type | Dataset |
|---|---|
| Resource Type |
Resource Type Resource Description Dataset Quantitative |
| Capture method | Other |
| Date | January 2017 |
| Language(s) of written materials | English |
| Creator(s) |
Gasparrini, A; Scheipl, F; Armstrong, B and Kenward, M
|
| 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 |
| Funders |
Project Funder Grant Number Funder URI |
| Date Deposited | 21 Mar 2017 10:19 |
| Last Modified | 28 Apr 2026 10:08 |
| Publisher | Github |
No files available. Please consult associated links.
