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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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