R code and data for: "A penalized framework for distributed lag non-linear models"

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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: http://datacompass.lshtm.ac.uk/382/ https://github.com/gasparrini/2017_gasparrini_Biomet_Rcodedata

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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.

Published in a 3rd party system Date: January 2017
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Data Creators(s): Gasparrini, A, Scheipl, F, Armstrong, B and Kenward, M
LSHTM Faculty/Department: Faculty of Public Health and Policy > Dept of Social and Environmental Health Research
Participating Institutions: London School of Hygiene & Tropical Medicine, London, United Kingdom, Ludwig Maximilians University, Munich, Germany

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