Latent space models for multiplex networks with shared structure PW MacDonald, E Levina, J Zhu Biometrika 109 (3), 683-706, 2022 | 27 | 2022 |
Dynamic adaptive procedures that control the false discovery rate PW MacDonald, K Liang, A Janssen Electronic Journal of Statistics 13 (2), 3009-3024, 2019 | 11 | 2019 |
Approximate post-selective inference for regression with the group lasso S Panigrahi, PW MacDonald, D Kessler Journal of Machine Learning Research 24 (79), 1-49, 2023 | 6 | 2023 |
Patients With Adenocarcinoma of the Esophagus or Esophagogastric Junction Frequently Have Potential Screening Opportunities JH Rubenstein, RR Evans, JA Burns, ME Arasim, J Zhu, AK Waljee, ... Gastroenterology 162 (4), 1349-1351. e5, 2022 | 6 | 2022 |
Predicting Incident Adenocarcinoma of the Esophagus or Gastric Cardia Using Machine Learning of Electronic Health Records JH Rubenstein, S Fontaine, PW MacDonald, JA Burns, RR Evans, ... Gastroenterology 165 (6), 1420-1429. e10, 2023 | 1 | 2023 |
Yield of Repeat Endoscopy for Barrett’s Esophagus after Normal Index Endoscopy JH Rubenstein, JA Burns, ME Arasim, EM Firsht, M Harbrecht, ... Official journal of the American College of Gastroenterology| ACG, 10.14309, 2022 | 1 | 2022 |
609 PREDICTING INCIDENT ADENOCARCINOMA OF THE ESOPHAGUS OR GASTRIC CARDIA USING MACHINE LEARNING OF ELECTRONIC HEALTH RECORDS JH Rubenstein, S Fontaine, PW Macdonald, J Burns, R Evans, M Arasim, ... Gastroenterology 164 (6), S-115, 2023 | | 2023 |
Latent process models for functional network data PW MacDonald, E Levina, J Zhu arXiv preprint arXiv:2210.07491, 2022 | | 2022 |
Discussion of “Co-citation and Co-authorship Networks of Statisticians” by Pengsheng Ji, Jiashun Jin, Zheng Tracy Ke, and Wanshan Li PW MacDonald, E Levina, J Zhu Journal of Business & Economic Statistics 40 (2), 492-493, 2022 | | 2022 |
Controlling the False Discovery Rate of Grouped Hypotheses PW MacDonald, N Wilson, K Liang, Y Qin Modern Statistical Methods for Health Research, 161-188, 2021 | | 2021 |
Inference post Selection of Group-sparse Regression Models S Panigrahi, PW MacDonald, D Kessler arXiv e-prints, arXiv: 2012.15664, 2020 | | 2020 |
Controlling the false discovery rate with dynamic adaptive procedures and of grouped hypotheses PW MacDonald University of Waterloo, 2018 | | 2018 |
Controlling the false discovery rate with dynamic adaptive procedures and of grouped hypotheses PW MacDonald University of Waterloo, 2018 | | 2018 |