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.
| Version: |
1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
nleqslv, stats |
| Published: |
2020-01-07 |
| Author: |
Di Shu, Sengwee Toh |
| Maintainer: |
Di Shu <shudi1991 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
ppmHR results |
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