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Prasad Patil
Prasad Patil
Assistant Professor, Boston University Department of Biostatistics
Verified email at bu.edu - Homepage
Title
Cited by
Cited by
Year
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
2432016
Biomedical cloud computing with amazon web services
VA Fusaro, P Patil, E Gafni, DP Wall, PJ Tonellato
PLoS computational biology 7 (8), e1002147, 2011
1792011
Cloud computing for comparative genomics
DP Wall, P Kudtarkar, VA Fusaro, R Pivovarov, P Patil, PJ Tonellato
BMC bioinformatics 11, 1-12, 2010
1552010
Test set bias affects reproducibility of gene signatures
P Patil, PO Bachant-Winner, B Haibe-Kains, JT Leek
Bioinformatics 31 (14), 2318-2323, 2015
972015
A statistical definition for reproducibility and replicability
P Patil, RD Peng, JT Leek
BioRxiv, 066803, 2016
952016
Training replicable predictors in multiple studies
P Patil, G Parmigiani
Proceedings of the National Academy of Sciences 115 (11), 2578-2583, 2018
582018
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
442021
A visual tool for defining reproducibility and replicability
P Patil, RD Peng, JT Leek
Nature human behaviour 3 (7), 650-652, 2019
382019
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
262021
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
242020
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
232013
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
212020
Merging versus ensembling in multi-study prediction: theoretical insight from random effects
Z Guan, G Parmigiani, P Patil
arXiv preprint arXiv:1905.07382, 2019
182019
Tree-weighting for multi-study ensemble learners
M Ramchandran, P Patil, G Parmigiani
Pacific Symposium on Biocomputing 2020, 451-462, 2019
182019
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
172014
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
152023
Robustifying genomic classifiers to batch effects via ensemble learning
Y Zhang, P Patil, WE Johnson, G Parmigiani
Bioinformatics 37 (11), 1521-1527, 2021
152021
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
122021
Cross-study learning for generalist and specialist predictions
B Ren, P Patil, F Dominici, G Parmigiani, L Trippa
arXiv preprint arXiv:2007.12807, 2020
122020
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
122016
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Articles 1–20