An implementation of the one-step privacy-protecting method for estimating the overall and site-specific hazard ratios using inverse probability weighted Cox models in distributed data network studies, as proposed by Shu, Yoshida, Fireman, and Toh (2019) <doi:10.1177/0962280219869742>. This method only requires sharing of summary-level riskset tables instead of individual-level data. Both the conventional inverse probability weights and the stabilized weights are implemented.
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | nleqslv, stats |
| Published: | 2020-01-07 |
| DOI: | 10.32614/CRAN.package.ppmHR |
| Author: | Di Shu, Sengwee Toh |
| Maintainer: | Di Shu <shudi1991 at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | ppmHR results |
| Reference manual: | ppmHR.html , ppmHR.pdf |
| Package source: | ppmHR_1.0.tar.gz |
| Windows binaries: | r-devel: ppmHR_1.0.zip, r-release: ppmHR_1.0.zip, r-oldrel: ppmHR_1.0.zip |
| macOS binaries: | r-release (arm64): ppmHR_1.0.tgz, r-oldrel (arm64): ppmHR_1.0.tgz, r-release (x86_64): ppmHR_1.0.tgz, r-oldrel (x86_64): ppmHR_1.0.tgz |
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