Bayesian Federated Inference

The Bayesian Federated Inference method combines inference results from different (medical) centers without sharing the data. In this version of the package, the user can fit models specifying Gaussian, Binomial (Logistic) and Survival families.

Details

Package:	BFI
Type:	Package
Version:	2.0.1
Date/Publication:	2024-04-27
License:	GPL (>=2)

MAP.estimation and bfi are the main functions. All other functions are utility functions.

Some examples are provided in the vignettes accompanying this package in order to show how the package can be applied to real data. The vignettes can be found on the package website at https://hassanpazira.github.io/BFI/ or within R once the package has been installed, e.g., via vignette("BFI", package = "BFI").

Author

Hassan Pazira, Emanuele Massa, Marianne A. Jonker
Maintainer: Hassan Pazira hassan.pazira@radboudumc.nl

References

Jonker M.A., Pazira H. and Coolen A.C.C. (2024). Bayesian federated inference for estimating statistical models based on non-shared multicenter data sets, Statistics in Medicine, 43(12): 2421-2438. <https://doi.org/10.1002/sim.10072>

Pazira H., Massa E., Weijers J.A.M., Coolen A.C.C. and Jonker M.A. (2024). Bayesian Federated Inference for Survival Models, arXiv. <https://arxiv.org/abs/2404.17464>

Jonker M.A., Pazira H. and Coolen A.C.C. (2024). Bayesian Federated Inference for regression models with heterogeneous multi-center populations, arXiv. <https://arxiv.org/abs/2402.02898>