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/>.
