Package: ppmHR
Type: Package
Title: Privacy-Protecting Hazard Ratio Estimation in Distributed Data
        Networks
Version: 1.0
Date: 2020-01-06
Author: Di Shu <shudi1991@gmail.com>, Sengwee Toh <darren_toh@harvardpilgrim.org>
Maintainer: Di Shu <shudi1991@gmail.com>
Description: 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. 
License: GPL (>= 2)
Imports: nleqslv, stats
RoxygenNote: 7.0.2
NeedsCompilation: no
Packaged: 2020-01-06 19:09:32 UTC; dishu
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2020-01-07 17:20:02 UTC
Built: R 4.6.0; ; 2026-04-27 00:24:33 UTC; unix
