Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks
Checking of site-specific covariate balance before and after weighting
Computation of summary-level information needed for the creation of a ...
Creation of summary-level riskset tables from individual-level data
Creation of an overall "Table 1" of baseline patient characteristics b...
Privacy-protecting estimation of site-specific hazard ratios using inv...
Privacy-protecting estimation of overall hazard ratios using inverse p...
Privacy-Protecting Hazard Ratio Estimation in Distributed Data Network...
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.