Prasad Patil
Prasad Patil
Assistant Professor, Boston University Department of Biostatistics
Verified email at bu.edu - Homepage
Title
Cited by
Cited by
Year
Biomedical cloud computing with amazon web services
VA Fusaro, P Patil, E Gafni, DP Wall, PJ Tonellato
PLoS Comput Biol 7 (8), e1002147, 2011
1572011
Cloud computing for comparative genomics
DP Wall, P Kudtarkar, VA Fusaro, R Pivovarov, P Patil, PJ Tonellato
BMC bioinformatics 11 (1), 1-12, 2010
1442010
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
1412016
Test set bias affects reproducibility of gene signatures
P Patil, PO Bachant-Winner, B Haibe-Kains, JT Leek
Bioinformatics 31 (14), 2318-2323, 2015
702015
A statistical definition for reproducibility and replicability
P Patil, RD Peng, JT Leek
BioRxiv, 066803, 2016
592016
Training replicable predictors in multiple studies
P Patil, G Parmigiani
Proceedings of the National Academy of Sciences 115 (11), 2578-2583, 2018
212018
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
182013
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
122014
A visual tool for defining reproducibility and replicability
P Patil, RD Peng, JT Leek
Nature human behaviour 3 (7), 650-652, 2019
92019
A statistical definition for reproducibility and replicability. bioRxiv 066803
P Patil, RD Peng, J Leek
72016
A glass half full interpretation of the replicability of psychological science
JT Leek, P Patil, RD Peng
arXiv preprint arXiv:1509.08968, 2015
52015
Merging versus ensembling in multi-study machine learning: Theoretical insight from random effects
Z Guan, G Parmigiani, P Patil
arXiv preprint arXiv:1905.07382, 2019
42019
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
32020
An approach to optimal individualized warfarin treatment through clinical trial simulations
CL Chi, VA Fusaro, P Patil, MA Crawford, CF Contant, PJ Tonellato
2010 5th Cairo International Biomedical Engineering Conference, 116-120, 2010
32010
Tree-weighting for multi-study ensemble learners
M Ramchandran, P Patil, G Parmigiani
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 25, 451, 2020
22020
Tree-weighting for multi-study ensemble learners
M Ramchandran, P Patil, G Parmigiani
BioRxiv, 698779, 2019
22019
Electronic medical record analysis using cloud computing
VA Fusaro, PJ Kos, M Tector, A Tector, P Patil, PJ Tonellato
F1000Research 1, 2010
22010
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
12020
Genomic and clinical predictors for improving estimator precision in randomized trials of breast cancer treatments
P Patil, E Colantuoni, JT Leek, M Rosenblum
Contemporary clinical trials communications 3, 48-54, 2016
12016
Avoiding test set bias with rank-based prediction
P Patil, PO Bachant-Winner, B Haibe-Kains, JT Leek
BioRxiv, 005983, 2014
12014
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