Bayesian Federated Inference for Survival Models

arXiv:2404.17464v1 Announce Type: cross
Abstract: In cancer research, overall survival and progression free survival are often analyzed with the Cox model. To estimate accurately the parameters in the model, sufficient data and, more importantly, sufficient events need to be observed. In practice, this is often a problem. Merging data sets from different medical centers may help, but this is not always possible due to strict privacy legislation and logistic difficulties. Recently, the Bayesian Federated Inference (BFI) strategy for generalized linear …

abstract arxiv bayesian cancer data data sets events free inference medical merging parameters practice research stat.co stat.me stat.ml survival type