A user friendly, easy to understand way of doing event history regression for marginal estimands of interest, including the cumulative incidence and the restricted mean survival, using the pseudo observation framework for estimation. For a review of the methodology, see Andersen and Pohar Perme (2010) <doi:10.1177/0962280209105020> or Sachs and Gabriel (2022) <doi:10.18637/jss.v102.i09>. The interface uses the well known formulation of a generalized linear model and allows for features including plotting of residuals, the use of sampling weights, and corrected variance estimation.
| Version: | 1.2.2 |
| Depends: | R (≥ 2.10) |
| Imports: | survival, sandwich, stats, geepack |
| Suggests: | testthat, prodlim, knitr, rmarkdown, rio, data.table |
| Published: | 2022-04-26 |
| Author: | Michael C Sachs [aut, cre], Erin E Gabriel [aut], Morten Overgaard [ctb] (Corrected variance calculation), Thomas A Gerds [ctb] (Fast computation of leave one out cumulative incidence), Terry Therneau [ctb] (Restricted mean computation) |
| Maintainer: | Michael C Sachs <sachsmc at gmail.com> |
| BugReports: | https://github.com/sachsmc/eventglm/issues/ |
| License: | GPL-3 |
| URL: | https://sachsmc.github.io/eventglm/ |
| NeedsCompilation: | yes |
| Citation: | eventglm citation info |
| Materials: | README NEWS |
| CRAN checks: | eventglm results |
| Reference manual: | eventglm.pdf |
| Vignettes: |
Examples of using eventglm and interpreting the results Extending eventglm Comparison to other software |
| Package source: | eventglm_1.2.2.tar.gz |
| Windows binaries: | r-devel: eventglm_1.2.2.zip, r-release: eventglm_1.2.2.zip, r-oldrel: eventglm_1.2.2.zip |
| macOS binaries: | r-release (arm64): eventglm_1.2.2.tgz, r-oldrel (arm64): eventglm_1.2.2.tgz, r-release (x86_64): eventglm_1.2.2.tgz, r-oldrel (x86_64): eventglm_1.2.2.tgz |
| Old sources: | eventglm archive |
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