Package: ppmHR 1.0

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.

Authors:Di Shu <[email protected]>, Sengwee Toh <[email protected]>

ppmHR_1.0.tar.gz
ppmHR_1.0.zip(r-4.5)ppmHR_1.0.zip(r-4.4)ppmHR_1.0.zip(r-4.3)
ppmHR_1.0.tgz(r-4.5-any)ppmHR_1.0.tgz(r-4.4-any)ppmHR_1.0.tgz(r-4.3-any)
ppmHR_1.0.tar.gz(r-4.5-noble)ppmHR_1.0.tar.gz(r-4.4-noble)
ppmHR_1.0.tgz(r-4.4-emscripten)ppmHR_1.0.tgz(r-4.3-emscripten)
ppmHR.pdf |ppmHR.html
ppmHR/json (API)

# Install 'ppmHR' in R:
install.packages('ppmHR', repos = c('https://shu-d.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • site1 - Example individual-level data of data-contributing site 1
  • site2 - Example individual-level data of data-contributing site 2
  • site3 - Example individual-level data of data-contributing site 3

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 120 downloads 6 exports 1 dependencies

Last updated 5 years agofrom:c93e8b17fa. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 21 2025
R-4.5-winOKMar 21 2025
R-4.5-macOKMar 21 2025
R-4.5-linuxOKMar 21 2025
R-4.4-winOKMar 21 2025
R-4.4-macOKMar 21 2025
R-4.4-linuxOKMar 21 2025
R-4.3-winOKMar 21 2025
R-4.3-macOKMar 21 2025

Exports:checkBalanceSitecomputeInfoForTable1createRisksetTablecreateTable1estimateSiteHRsestimateStratHR

Dependencies:nleqslv