ppmHR: Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks

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
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

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Reference manual: ppmHR.pdf
Package source: ppmHR_1.0.tar.gz
Windows binaries: r-devel: ppmHR_1.0.zip, r-devel-gcc8: ppmHR_1.0.zip, r-release: ppmHR_1.0.zip, r-oldrel: ppmHR_1.0.zip
OS X binaries: r-release: ppmHR_1.0.tgz, r-oldrel: ppmHR_1.0.tgz

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