Heat conduction on the ring: Interface problems with periodic boundary conditions. - Natalie E. Sheils; Bernard Deconinck (Appl. Math. Lett., 2014)

Modeling differential rates of aging using routine laboratory data; Implications for morbidity and health care expenditure. - Alix Jean Santos; Xavier Eugenio Asuncion; Camille Rivero-Co; Maria Eloisa Ventura; Reynaldo Geronia II; Lauren Bangerter; Natalie E. Sheils (CoRR, 2021)

Benchmarking AutoML frameworks for disease prediction using medical claims. - Roland Albert A. Romero; Mariefel Nicole Y. Deypalan; Suchit Mehrotra; John Titus Jungao; Natalie E. Sheils; Elisabetta Manduchi; Jason H. Moore (BioData Min., 2022)

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling. - Chongliang Luo; Md. Nazmul Islam; Natalie E. Sheils; John Buresh; Martijn J. Schuemie; Jalpa A. Doshi; Rachel M. Werner; David A. Asch; Yong Chen 016 (J. Am. Medical Informatics Assoc., 2022)

Distributed Quasi-Poisson regression algorithm for modeling multi-site count outcomes in distributed data networks. - Mackenzie J. Edmondson; Chongliang Luo; Md. Nazmul Islam; Natalie E. Sheils; John Buresh; Zhaoyi Chen; Jiang Bian 001; Yong Chen 016 (J. Biomed. Informatics, 2022)

Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites. - Jiayi Tong; Chongliang Luo; Md. Nazmul Islam; Natalie E. Sheils; John Buresh; Mackenzie J. Edmondson; Peter A. Merkel; Ebbing Lautenbach; Rui Duan 004; Yong Chen 016 (npj Digit. Medicine, 2022)