| What should researchers expect when they replicate studies? A statistical view of replicability in psychological science P Patil, RD Peng, JT Leek Perspectives on Psychological Science 11 (4), 539-544, 2016 | 255 | 2016 |
| Biomedical cloud computing with amazon web services VA Fusaro, P Patil, E Gafni, DP Wall, PJ Tonellato PLoS computational biology 7 (8), e1002147, 2011 | 181 | 2011 |
| Cloud computing for comparative genomics DP Wall, P Kudtarkar, VA Fusaro, R Pivovarov, P Patil, PJ Tonellato BMC bioinformatics 11, 1-12, 2010 | 158 | 2010 |
| Test set bias affects reproducibility of gene signatures P Patil, PO Bachant-Winner, B Haibe-Kains, JT Leek Bioinformatics 31 (14), 2318-2323, 2015 | 98 | 2015 |
| A statistical definition for reproducibility and replicability P Patil, RD Peng, JT Leek BioRxiv, 066803, 2016 | 97 | 2016 |
| Training replicable predictors in multiple studies P Patil, G Parmigiani Proceedings of the National Academy of Sciences 115 (11), 2578-2583, 2018 | 60 | 2018 |
| Development and validation of machine learning models to predict gastrointestinal leak and venous thromboembolism after weight loss surgery: an analysis of the MBSAQIP database J Nudel, AM Bishara, SWL de Geus, P Patil, J Srinivasan, DT Hess, ... Surgical endoscopy 35, 182-191, 2021 | 48 | 2021 |
| A visual tool for defining reproducibility and replicability P Patil, RD Peng, JT Leek Nature human behaviour 3 (7), 650-652, 2019 | 39 | 2019 |
| Time-varying associations between COVID-19 case incidence and community-level sociodemographic, occupational, environmental, and mobility risk factors in Massachusetts KF Tieskens, P Patil, JI Levy, P Brochu, KJ Lane, MP Fabian, F Carnes, ... BMC Infectious Diseases 21, 1-9, 2021 | 27 | 2021 |
| Epigenomic assessment of cardiovascular disease risk and interactions with traditional risk metrics K Westerman, A Fernández‐Sanlés, P Patil, P Sebastiani, P Jacques, ... Journal of the American Heart Association 9 (8), e015299, 2020 | 25 | 2020 |
| A systems approach to designing effective clinical trials using simulations VA Fusaro, P Patil, CL Chi, CF Contant, PJ Tonellato Circulation 127 (4), 517-526, 2013 | 24 | 2013 |
| Representation via representations: Domain generalization via adversarially learned invariant representations Z Deng, F Ding, C Dwork, R Hong, G Parmigiani, P Patil, P Sur arXiv preprint arXiv:2006.11478, 2020 | 21 | 2020 |
| Merging versus ensembling in multi-study prediction: theoretical insight from random effects Z Guan, G Parmigiani, P Patil arXiv preprint arXiv:1905.07382, 2019 | 19 | 2019 |
| Tree-weighting for multi-study ensemble learners M Ramchandran, P Patil, G Parmigiani Pacific Symposium on Biocomputing 2020, 451-462, 2019 | 18 | 2019 |
| Robustifying genomic classifiers to batch effects via ensemble learning Y Zhang, P Patil, WE Johnson, G Parmigiani Bioinformatics 37 (11), 1521-1527, 2021 | 17 | 2021 |
| Constitutional promoter methylation and risk of familial melanoma PL Hyland, LS Burke, RM Pfeiffer, M Rotunno, D Sun, P Patil, X Wu, ... Epigenetics 9 (5), 685-692, 2014 | 17 | 2014 |
| Overcoming the impacts of two-step batch effect correction on gene expression estimation and inference T Li, Y Zhang, P Patil, WE Johnson Biostatistics 24 (3), 635-652, 2023 | 16 | 2023 |
| Loss to follow-up and re-engagement in HIV pre-exposure prophylaxis care in the United States, 2013–2019 J Tao, MC Montgomery, R Williams, P Patil, BG Rogers, C Sosnowy, ... AIDS Patient Care and STDs 35 (7), 271-277, 2021 | 13 | 2021 |
| Cross-study learning for generalist and specialist predictions B Ren, P Patil, F Dominici, G Parmigiani, L Trippa arXiv preprint arXiv:2007.12807, 2020 | 12 | 2020 |
| A statistical definition for reproducibility and replicability. BioRxiv, 066803 P Patil, RD Peng, J Leek Peters, I., Kraker, P., Lex, E., Gumpenberger, C., and Gorraiz, J.(2016 …, 2016 | 12 | 2016 |
