Updated R code from Gasparrini StatMed 2014
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.gitignore
01.prep.R
02.descriptive.R
03.dlm.R
04.dlnm.R
05.prediction.R
06.additional.R
07.simcall.R
08.simres.R
2014_gasparrini_StatMed_Rcodedata.Rproj
README.html
README.md
example.R
functions.R
simprep.R
simrun.R
uminers.csv

README.md

Updated R code from Gasparrini StatMed 2014


An example illustrating the extension of DLNMs for modelling exposure-lag-response associations beyond time series analysis. The code completely reproduces the examples and simulation study described in the article:

Gasparrini A. Modeling exposure–lag–response associations with distributed lag non-linear models. Statistics in Medicine. 2014;33(5):881-899. [freely available here]

This is complemented by the vignette dlnmExtended included in the R package dlnm, showing applications in alternative settings.


The code:

  • uminers.csv stores the data from the Colorado Plateau uranium miners cohort, including individual information for 3,347 male subjects
  • the numbered files from 00.prep.R to 08.simres.R reproduce the results of the illustrative example and of the simulation study
  • example.R offers a simple example with of fitting some models and displaying/summarizing the results
  • functions.R creates some functions used in the other scripts
  • simprep.R and simrun.R are called from the other scripts for preparing and running the simulations

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