Jonathan D. Rosenblatt
Jonathan D. Rosenblatt
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Cited by
Cited by
Imbalanced neural responsivity to risk and reward indicates stress vulnerability in humans
R Admon, G Lubin, JD Rosenblatt, O Stern, I Kahn, M Assaf, T Hendler
Cerebral cortex 23 (1), 28-35, 2013
On the optimality of averaging in distributed statistical learning
JD Rosenblatt, B Nadler
Information and Inference: A Journal of the IMA 5 (4), 379-404, 2016
Multivariate revisit to “sex beyond the genitalia”
JD Rosenblatt
Proceedings of the National Academy of Sciences 113 (14), E1966-E1967, 2016
What's in a pattern? Examining the type of signal multivariate analysis uncovers at the group level
R Gilron, J Rosenblatt, O Koyejo, RA Poldrack, R Mukamel
NeuroImage 146, 113-120, 2017
Revisiting multi-subject random effects in fMRI: Advocating prevalence estimation
JD Rosenblatt, M Vink, Y Benjamini
NeuroImage 84, 113-121, 2014
Better-than-chance classification for signal detection
JD Rosenblatt, Y Benjamini, R Gilron, R Mukamel, JJ Goeman
Biostatistics 22 (2), 365-380, 2021
Misfolded SOD1 accumulation and mitochondrial association contribute to the selective vulnerability of motor neurons in familial ALS: correlation to human disease
S Abu-Hamad, J Kahn, MF Leyton-Jaimes, J Rosenblatt, A Israelson
ACS chemical neuroscience 8 (10), 2225-2234, 2017
All-resolutions inference for brain imaging
JD Rosenblatt, L Finos, WD Weeda, A Solari, JJ Goeman
Neuroimage 181, 786-796, 2018
Memory reactivation improves visual perception
R Amar-Halpert, R Laor-Maayany, S Nemni, JD Rosenblatt, N Censor
Nature neuroscience 20 (10), 1325-1328, 2017
Preconscious prediction of a driver's decision using intracranial recordings
O Perez, R Mukamel, A Tankus, JD Rosenblatt, Y Yeshurun, I Fried
Journal of cognitive neuroscience 27 (8), 1492-1502, 2015
Selective correlations; not voodoo
JD Rosenblatt, Y Benjamini
NeuroImage 103, 401-410, 2014
Modeling and analyzing respondent-driven sampling as a counting process.
FSD Berchenko Y., Rosenblatt J.D.
Biometrics, 2017
TOSS - Multiple hypothesis testing in an open software system
G Blanchard, T Dickhaus, N Hack, F Konietschke, K Rohmeyer, ...
Proceedings of the First Workshop on Applications of Pattern Analysis, 12-19, 2010
Multivariate anomaly detection for ensuring data quality of dendrometer sensor networks
E Vilenski, P Bak, JD Rosenblatt
Computers and Electronics in Agriculture 162, 412-421, 2019
Gaussian Markov random fields versus linear mixed models for satellite-based PM2. 5 assessment: Evidence from the Northeastern USA
R Sarafian, I Kloog, AC Just, JD Rosenblatt
Atmospheric Environment 205, 30-35, 2019
RRHO: Test overlap using the Rank-Rank Hypergeometric test
JD Rosenblatt, JL Stein
R package version 1 (0), 2014
The harmonic mean p-value: Strong versus weak control, and the assumption of independence
JJ Goeman, JD Rosenblatt, TE Nichols
Proceedings of the National Academy of Sciences, 201909339, 2019
On mixture alternatives and Wilcoxon’s signed-rank test
JD Rosenblatt, Y Benjamini
The American Statistician 72 (4), 344-347, 2018
mutoss: Unified multiple testing procedures
MTC Team, G Blanchard, T Dickhaus, N Hack, F Konietschke, ...
R package version 0.1 8, 2014
A Practitioner's Guide to Multiple Testing Error Rates
J Rosenblatt
arXiv preprint arXiv:1304.4920, 2013
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