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.

Package details

AuthorDi Shu <shudi1991@gmail.com>, Sengwee Toh <darren_toh@harvardpilgrim.org>
MaintainerDi Shu <shudi1991@gmail.com>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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ppmHR documentation built on Jan. 8, 2020, 1:09 a.m.