 Connection
Tor Wager to Models, Statistical
This is a "connection" page, showing publications Tor Wager has written about Models, Statistical.
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Connection Strength |
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0.945 |
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Wager TD, Kang J, Johnson TD, Nichols TE, Satpute AB, Barrett LF. A Bayesian model of category-specific emotional brain responses. PLoS Comput Biol. 2015 Apr; 11(4):e1004066.
Score: 0.359
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Leroux A, Crainiceanu C, Zeger S, Taub M, Ansari B, Wager TD, Bayman E, Coffey C, Langefeld C, McCarthy R, Tsodikov A, Brummet C, Clauw DJ, Edwards RR, Lindquist MA. Statistical modeling of acute and chronic pain patient-reported outcomes obtained from ecological momentary assessment. Pain. 2024 Sep 01; 165(9):1955-1965.
Score: 0.169
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Ch?n OY, Crainiceanu C, Ogburn EL, Caffo BS, Wager TD, Lindquist MA. High-dimensional multivariate mediation with application to neuroimaging data. Biostatistics. 2018 04 01; 19(2):121-136.
Score: 0.110
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Montagna S, Wager T, Barrett LF, Johnson TD, Nichols TE. Spatial Bayesian latent factor regression modeling of coordinate-based meta-analysis data. Biometrics. 2018 03; 74(1):342-353.
Score: 0.104
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Xue W, Kang J, Bowman FD, Wager TD, Guo J. Identifying functional co-activation patterns in neuroimaging studies via poisson graphical models. Biometrics. 2014 Dec; 70(4):812-22.
Score: 0.086
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Wager TD, Keller MC, Lacey SC, Jonides J. Increased sensitivity in neuroimaging analyses using robust regression. Neuroimage. 2005 May 15; 26(1):99-113.
Score: 0.045
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Wager TD, Nichols TE. Optimization of experimental design in fMRI: a general framework using a genetic algorithm. Neuroimage. 2003 Feb; 18(2):293-309.
Score: 0.039
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Van Snellenberg JX, Slifstein M, Read C, Weber J, Thompson JL, Wager TD, Shohamy D, Abi-Dargham A, Smith EE. Dynamic shifts in brain network activation during supracapacity working memory task performance. Hum Brain Mapp. 2015 Apr; 36(4):1245-64.
Score: 0.022
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Nichols T, Brett M, Andersson J, Wager T, Poline JB. Valid conjunction inference with the minimum statistic. Neuroimage. 2005 Apr 15; 25(3):653-60.
Score: 0.011
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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