Brian Caffo
Affiliations: | Johns Hopkins University, Baltimore, MD |
Area:
Biostatistics BiologyGoogle:
"Brian Caffo"Children
Sign in to add trainee| Xianbin Li | grad student | 2008 | Johns Hopkins |
| Shu-Chih Su | grad student | 2008 | Johns Hopkins |
| Haley K. Hedlin | grad student | 2011 | Johns Hopkins |
| Bruce J. Swihart | grad student | 2011 | Johns Hopkins |
| Bradley R. Foerster | grad student | 2013 | Johns Hopkins |
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Publications
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| Wang B, Luo X, Zhao Y, et al. (2020) Semiparametric partial common principal component analysis for covariance matrices. Biometrics |
| Caffo B, Swihart B, Laffan A, et al. (2019) An overview of observational sleep research with application to sleep stage transitioning. Chance (New York, N.Y.). 22: 10-15 |
| Choe AS, Nebel MB, Barber AD, et al. (2017) Comparing test-retest reliability of dynamic functional connectivity methods. Neuroimage |
| Airan RD, Vogelstein JT, Pillai JJ, et al. (2016) Factors affecting characterization and localization of interindividual differences in functional connectivity using MRI. Human Brain Mapping |
| Harrison DM, Li X, Liu H, et al. (2016) Lesion Heterogeneity on High-Field Susceptibility MRI Is Associated with Multiple Sclerosis Severity. Ajnr. American Journal of Neuroradiology |
| Zhang T, Wu J, Li F, et al. (2015) A Dynamic Directional Model for Effective Brain Connectivity using Electrocorticographic (ECoG) Time Series. Journal of the American Statistical Association. 110: 93-106 |
| Swihart BJ, Caffo BS, Crainiceanu CM. (2014) A unifying framework for marginalized random intercept models of correlated binary outcomes. International Statistical Review = Revue Internationale De Statistique. 82: 275-295 |
| Griswold ME, Swihart BJ, Caffo BS, et al. (2013) Practical Marginalized Multilevel Models. Stat. 2 |
| Langrock R, Swihart BJ, Caffo BS, et al. (2013) Combining hidden Markov models for comparing the dynamics of multiple sleep electroencephalograms. Statistics in Medicine. 32: 3342-56 |
| Li S, Eloyan A, Joel S, et al. (2012) Analysis of group ICA-based connectivity measures from fMRI: application to Alzheimer's disease. Plos One. 7: e49340 |