Natalie E. Sheils - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 5 from 5

2022

Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networksMackenzie J. Edmondson, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Zhaoyi Chen, Jiang Bian 0001, Yong Chen 0016. jbi, 131:104097, 2022. [doi]

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profilingChongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Martijn J. Schuemie, Jalpa A. Doshi, Rachel M. Werner, David A. Asch, Yong Chen 0016. jamia, 29(8):1366-1371, 2022. [doi]

Benchmarking AutoML frameworks for disease prediction using medical claimsRoland Albert A. Romero, Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi, Jason H. Moore. biodatamining, 15(1), 2022. [doi]

Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sitesJiayi Tong, Chongliang Luo, Md. Nazmul Islam, Natalie E. Sheils, John Buresh, Mackenzie J. Edmondson, Peter A. Merkel, Ebbing Lautenbach, Rui Duan, Yong Chen 0016. npjdm, 5, 2022. [doi]

2014

Heat conduction on the ring: Interface problems with periodic boundary conditionsNatalie E. Sheils, Bernard Deconinck. appml, 37:107-111, 2014. [doi]

Sign in or sign up to see more results.

runs on WebDSL