pda
Privacy-Preserving Distributed Algorithms
A collection of privacy-preserving distributed algorithms for conducting multi-site data analyses. The regression analyses can be linear regression for continuous outcome, logistic regression for binary outcome, Cox proportional hazard regression for time-to event outcome, Poisson regression for count outcome, or multi-categorical regression for nominal or ordinal outcome. The PDA algorithm runs on a lead site and only requires summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online system (https://pda-ota.pdamethods.org/) for safe and convenient collaboration. For more information, please visit our software websites: https://github.com/Penncil/pda, and https://pdamethods.org/.
- Version1.2.7
- R versionunknown
- LicenseApache License 2.0
- Needs compilation?Yes
- Last release03/04/2024
Documentation
Team
Jiajie Chen
Chongliang Luo
Show author detailsRolesAuthorYong Chen
Show author detailsRolesAuthorJiayi Tong
Show author detailsRolesAuthorRui Duan
Show author detailsRolesAuthorMackenzie Edmondson
Show author detailsRolesAuthorXiaokang Liu
Show author detailsRolesAuthorKenneth Locke
Show author detailsRolesAuthorPenn Computing Inference Learning (PennCIL) lab
Show author detailsRolesCopyright holder
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- Imports13 packages
- Suggests2 packages
- Linking To2 packages