Thomas E. Nichols
statistician and neuroimaging researcher
Facts
15 properties- Instance of
- human
- Date of birth
- 2000
- Occupation
- statistician, professor
- Employer
- University of Warwick, University of Oxford, GSK, University of Michigan, University of Warwick, University of Pittsburgh Medical Center[4]
- Educated at
- Carnegie Mellon University[5]
- Award received
- Fellow of the American Statistical Association[6]
- Official website
- warwick.ac.uk[12]
- Doctoral student
- Jeanette A. Mumford[9]
- Work location
- Pittsburgh, Warwick[13][14]
- Member of
- American Statistical Association[7]
🏷️ Also known as
en Thomas E Nichols
en Thomas E. Nichols
en Thomas Nichols
🔖 Identifiers · 30
- ISNI
- 0000000118396689
- ORCID iD
- 0000-0002-4516-5103
- VIAF cluster ID
- 169485368
- Library of Congress Authorities ID
- n2011181027
- GND ID
- 104857931X
- BIBSYS ID
- 12061671
- Canadiana Name Authority ID
- ncf11579855
- DBLP author ID
- 67/6093
- DDB person (GND) ID
- 104857931X
- Dimensions author ID
- 01215612447.63
- Gateway to Research person ID
- 2E304C90-1E3C-42B8-9282-06504639CFF3
- GitHub account
- nicholst
Show all 30 identifiers +18
- Google Knowledge Graph ID
- /g/11c0rkyq4v
- Google Scholar author ID
- OTJoPikAAAAJ
- IdRef ID
- 165846542
- J9U entity ID
- 987007434988405171
- Loop ID
- 17823
- NL CR AUT ID
- mub2015882695
- NUKAT ID
- n2012266166
- Nationale Thesaurus voor Auteursnamen ID
- 340378204
- Official blog URL
- blogs.warwick.ac.uk
- Publons author ID
- 1296076
- RERO ID (legacy)
- A020138376
- SBN author ID
- LUAV235185
- Scopus author ID
- 7102408893
- Springer Nature person ID
- 01215612447.63
- Web of Science ResearcherID
- N-9902-2017
- WorldCat Entities ID
- E39PCjxmgcPkryPxDMM7PDtmgq
- X (Twitter) username
- ten_photos
- Yale LUX ID
- person/efea3428-9bf7-4f48-bc75-0b7a76488c1d
🔗 Connections
Author of 42
Accelerated estimation and permutation inference for ACE modeling,
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application,
Analysis of Multiple Sclerosis Lesions via Spatially Varying Coefficients,
Application of a convolutional neural network to the quality control of MRI defacing,
Bayesian Log-Gaussian Cox Process Regression: Applications to Meta-Analysis of Neuroimaging Working Memory Studies,
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation,
Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates,
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
+34 more
← Authored by 42
Accelerated estimation and permutation inference for ACE modeling,
A kernel machine method for detecting effects of interaction between multidimensional variable sets: An imaging genetics application,
Analysis of Multiple Sclerosis Lesions via Spatially Varying Coefficients,
Application of a convolutional neural network to the quality control of MRI defacing,
Bayesian Log-Gaussian Cox Process Regression: Applications to Meta-Analysis of Neuroimaging Working Memory Studies,
Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation,
Cluster failure revisited: Impact of first level design and physiological noise on cluster false positive rates,
Cluster failure: Why fMRI inferences for spatial extent have inflated false-positive rates
+34 more
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Summary
Thomas E. Nichols was born on 2000[1]. He has worked as a statistician[2] and professor[3].
FAQs
What did Thomas E. Nichols do for work?
Thomas E. Nichols worked as a statistician[2] and professor[3].
Where did Thomas E. Nichols go to school?
Thomas E. Nichols was educated at Carnegie Mellon University[5].
What awards did Thomas E. Nichols receive?
Honors received include Fellow of the American Statistical Association[6].