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".
[Data Collection].
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".
[Data Collection].
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 | Data Collection |
|---|---|
| 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 | 09 Jul 2021 11:22 |
| Publisher | Github |
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