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ppmHR  

Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks
View on CRAN: Click here


Download and install ppmHR package within the R console
Install from CRAN:
install.packages("ppmHR")

Install from Github:
library("remotes")
install_github("cran/ppmHR")

Install by package version:
library("remotes")
install_version("ppmHR", "1.0")



Attach the package and use:
library("ppmHR")
Maintained by
Di Shu
[Scholar Profile | Author Map]
First Published: 2020-01-07
Latest Update: 2020-01-07
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) . 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.
How to cite:
Di Shu (2020). ppmHR: Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks. R package version 1.0, https://cran.r-project.org/web/packages/ppmHR. Accessed 11 Apr. 2025.
Previous versions and publish date:
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