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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.
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Package details |
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| Author | Di Shu <shudi1991@gmail.com>, Sengwee Toh <darren_toh@harvardpilgrim.org> |
| Maintainer | Di Shu <shudi1991@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.0 |
| Package repository | View on CRAN |
| Installation |
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