Epi package for epidemiological analysis with R (original) (raw)

A book, "Epidemiology with R" is out.
The book covers some of the facilities in the **Epi** package, but not all.

• The **Epi** package is mainly focused on "classical" chronic disease epidemiology.
• The package has grown out of the courseStatistical Practice in Epidemiology using R.
• The **Epi** package is available from CRAN which can also be found through the R homepage.
  Alternatively, you can from a running R session on a computer on the net just type:
  > install.packages( "Epi" )
• The latest version of **Epi** on CRAN is here.
  • Changes in the different versions of the package is here.
  • Earlier, current and progress versions of the Epi package are availablehere.
  • Any version newer than the CRAN version is subject to change without notice and may contain known or unanticipated errors.
• Package vignettes in the Epi package:
  • Follow-up data with the Epi package.R-code.
  • Competing risks with Lexis, parametric rates and simulation based confidence intervals.R-code. Teaching slides.
  • Simulation of multistate models with multiple timescales: simLexis in the Epi package (extended version).R-code.
  • Time dependent covariates in Lexis objects.R-code.
  • Years of Life Lost (YLL) to disease (extended version).R-code.
• Other useful texts illustrating facilities in the Epi package:
  • Who needs the Cox model anyway?.R-code.
  • The missing intensities in: "Analysis of time-to-event for observational studies: Guidance to the use of intensity models".R-code.
  • Multistate example from SiM paper by Crowther and Lambert.R-code.
  • Multistate models in Epi: The DLI example from JSS: the etm package by Allignol et al.. R-code.

Updated 13 April 2022, BxC