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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.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 ppmHR_1.0.tar.gz 143.3 KiB
1.0 rolling linux/noble R-4.5 ppmHR_1.0.tar.gz 143.1 KiB
1.0 rolling source/ R- ppmHR_1.0.tar.gz 87.5 KiB
1.0 latest linux/jammy R-4.5 ppmHR_1.0.tar.gz 143.3 KiB
1.0 latest linux/noble R-4.5 ppmHR_1.0.tar.gz 143.1 KiB
1.0 latest source/ R- ppmHR_1.0.tar.gz 87.5 KiB
1.0 2026-04-26 source/ R- ppmHR_1.0.tar.gz 87.5 KiB
1.0 2026-04-23 source/ R- ppmHR_1.0.tar.gz 87.5 KiB
1.0 2026-04-09 windows/windows R-4.5 ppmHR_1.0.zip 146.2 KiB
1.0 2025-04-20 source/ R- ppmHR_1.0.tar.gz 87.5 KiB

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