eventglm
Regression Models for Event History Outcomes
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.
- Version1.4.5
- R versionR (≥ 2.10)
- LicenseGPL-3
- Needs compilation?Yes
- eventglm citation info
- Last release03/03/2025
Documentation
Team
Michael C Sachs
MaintainerShow author detailsMorten Overgaard
Show author detailsRolesContributorErin E Gabriel
Show author detailsRolesAuthorTerry Therneau
Show author detailsRolesContributorThomas A Gerds
Show author detailsRolesContributor
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- Imports3 packages
- Suggests6 packages
- Reverse Suggests1 package