Survival functions for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD

Multivariate Imputation by Chained Equations for DataSHIELD - Server

A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD

Survival functions (client side) for DataSHIELD. Package for building survival models, Cox proportional hazards models and Cox regression models in DataSHIELD.

Upload tools for DataSHIELD backends

Distributed component-wise boosting using DataSHIELD

Shiny app for DataSHIELD omic data analyses

This is a package with miscellaneous tools, a set of computational tools and a graphical user interface (GUI) for privacy preserving federated survival model meta-analysis using the DataSHIELD platform. The primary function is to enable data and model documentation.

Set of functions to automate and simplify DataSHIELD processes.

Synthetic data generation for DataSHIELD

dsSynthetic library to generate synthetic data in DataSHIELD

A bookdown demonstrating how to build survival models using the dsSurvival 2.0 package in DataSHIELD

Helper functions for accessing and working with the IMI SOPHIA federated database.

Client for Cox functions in DataSHIELD

Documentation for dsSynthetic package to generate synthetic data

Convertor for migration from PalmOS to Android

Miscellaneous tools for use in DataSHIELD

ROC-GLM for DataSHIELD

We propose dsDid, a federated learning package implemented in DataSHIELD with a federated version of the DID approach of Callaway and Sant'Anna (2022) at its core. It allows for the federated estimation of treatment effects per period and the corresponding federated uncertainty quantification.