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
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

Documentation:

Reference manual:

ppmHR.pdf

Downloads:

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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