| Method | Type | Functions | Package |
| Piecewise exponential regression | Pooled | ds.Lexis, ds.glm | dsBaseClient |
| Piecewise exponential regression | SLMA | ds.Lexis, ds.glmSLMA | dsBaseClient |
| Cox proportional hazards | SLMA | ds.coxphSLMA | dsSurvivalClient |
| Cox proportional hazards (webDISCO algorithm) | Pooled | ds.coxph | dsSurvivalClient |
| Fine-Gray model (competing risks data) | SLMA | ds.finegray | dsSurvivalClient |
| LifeTables | |||
| Kaplan-Maier | SLMA | LOESS; smoothed | |
| Cubic splines | ds.rcs |
| Function/Package | |
| Methods papers: | |
| Banerjee et al. (2022) dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD. BMC Research Notes | dsSurvival |
| Banerjee et al. (2023) dsSurvival 2.0: privacy enhancing survival curves for survival models in the federated DataSHIELD analysis system. BMC Research Notes | dsSurvival |
| Applied Research papers: | |
| Bergeron et al. (2024). Stress and anxiety during pregnancy and length of gestation: A federated study using data from five Canadian and European birth cohorts. European Journal of Epidemiology | ds.coxphSLMA |
| Online Materials: | |
| dsSurvival book down: https://neelsoumya.github.io/dsSurvivalbookdown/ | dsSurvival |
| WebDISCO: a web service for distributed cox model learning without patient-level data sharing. https://doi.org/10.1093/jamia/ocv083 |
| Survival stacking: casting survival analysis as a classification problem. https://arxiv.org/pdf/2107.13480 |
| Federated Survival Analysis with Discrete-Time Cox Models. https://arxiv.org/pdf/2006.08997 |
| Privacy-preserving cox regression for survival analysis. https://doi.org/10.1145/1401890.1402013 |
| DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. https://doi.org/10.1016/j.jbi.2022.104264 |
| Federated Cox Proportional Hazards Model with multicentric privacy-preserving LASSO feature selection for survival analysis from the perspective of personalized medicine. https://ieeexplore.ieee.org/document/9867090 |
| Distributed radiomics as a signature validation study using the Personal Health Train infrastructure. https://doi.org/10.1038/s41597-019-0241-0 |
| Privacy-aware Federated Learning for Accelerating Biomedical and Clinical Time-to-Event Analysis. https://ediss.sub.uni-hamburg.de/bitstream/ediss/11253/1/Dissertation.pdf |