ivsacim: Structural Additive Cumulative Intensity Models with IV

An instrumental variable estimator under structural cumulative additive intensity model is fitted, that leverages initial randomization as the IV. The estimator can be used to fit an additive hazards model under time to event data which handles treatment switching (treatment crossover) correctly. We also provide a consistent variance estimate.

Version: 2.1.0
Depends: R (≥ 4.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo
Published: 2022-01-30
DOI: 10.32614/CRAN.package.ivsacim
Author: Andrew Ying
Maintainer: Andrew Ying <aying9339 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: ivsacim results


Reference manual: ivsacim.pdf


Package source: ivsacim_2.1.0.tar.gz
Windows binaries: r-devel: ivsacim_2.1.0.zip, r-release: ivsacim_2.1.0.zip, r-oldrel: ivsacim_2.1.0.zip
macOS binaries: r-release (arm64): ivsacim_2.1.0.tgz, r-oldrel (arm64): ivsacim_2.1.0.tgz, r-release (x86_64): ivsacim_2.1.0.tgz, r-oldrel (x86_64): ivsacim_2.1.0.tgz
Old sources: ivsacim archive


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