Chen, Xinlei, Talisa, Victor B, Tan, Xiaoqing, Qi, Zhengling, Kennedy, Jason N, Chang, Chung-Chou H, Seymour, Christopher W, and Tang, Lu. Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population. Retrieved from https://par.nsf.gov/biblio/10604913. The Annals of Applied Statistics 19.2 Web. doi:10.1214/25-AOAS2017.

Chen, Xinlei, Talisa, Victor B, Tan, Xiaoqing, Qi, Zhengling, Kennedy, Jason N, Chang, Chung-Chou H, Seymour, Christopher W, & Tang, Lu. Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population. The Annals of Applied Statistics, 19 (2). Retrieved from https://par.nsf.gov/biblio/10604913. https://doi.org/10.1214/25-AOAS2017

Chen, Xinlei, Talisa, Victor B, Tan, Xiaoqing, Qi, Zhengling, Kennedy, Jason N, Chang, Chung-Chou H, Seymour, Christopher W, and Tang, Lu. "Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population". The Annals of Applied Statistics 19 (2). Country unknown/Code not available: Institute of Mathematical Statistics. https://doi.org/10.1214/25-AOAS2017. https://par.nsf.gov/biblio/10604913.

@article{osti_10604913,
place = {Country unknown/Code not available}, title = {Federated learning of robust individualized decision rules with application to heterogeneous multihospital sepsis population}, url = {https://par.nsf.gov/biblio/10604913}, DOI = {10.1214/25-AOAS2017}, abstractNote = {}, journal = {The Annals of Applied Statistics}, volume = {19}, number = {2}, publisher = {Institute of Mathematical Statistics}, author = {Chen, Xinlei and Talisa, Victor B and Tan, Xiaoqing and Qi, Zhengling and Kennedy, Jason N and Chang, Chung-Chou H and Seymour, Christopher W and Tang, Lu}, }