Todd Ogden, Ph.D. is Associate Professor of Biostatistics (Psychiatry) at Columbia University and Research Scientistin the Division of Molecular Imaging and Neuropathology (M.I.N.D.) at the New York State Psychiatric Institute. Dr. Ogden is Leader of the Conte Center for Suicide Prevention Project 6, Statistical Models of Suicidal Behavior and Brain Biology Using Large Data Sets.
Dr. Ogden has interests in a wide variety of topics in both statistical methodology and various application areas.
He is currently collaborating with researchers at the New York State Psychiatric Institute on various statistical modeling issues with the analysis of data from brain imaging studies relating to suicide risk and other topics.
Additional ongoing interests include functional data analysis, nonparametric regression, wavelet methods, statistical modeling, statistical computing, and statistical education.
1. Tarpey, T., Petkova, E., and Ogden, R. T. (2003). Profiling placebo responders by self-consistent partitioning of functional data. Journal of the American Statistical Association 98: 850-858.
2. Ogden, R. T. (2003). Estimation of kinetic parameters in graphical analysis of PET imaging data. Statistics in Medicine22: 3557-3568. PMID: 14601019
3. Ogden, R. T. and Tarpey, T. (2006). Estimation in Regression Models with Externally Estimated Parameters.Biostatistics 7:115-129. PMID 16020616
4. Reiss, P. T. and Ogden, R. T. (2007). Functional principal component regression and functional partial least squares.Journal of the American Statistical Association 102: 984-996.
5. Wu, S., Ogden, R. T., Mann, J. J., and Parsey, R. V. (2007). Optimal metabolite curve fitting for kinetic modeling of 11C-WAY-100635. Journal of Nuclear Medicine 48: 926-931. PMID: 17504866.
6. Ogden, R. T. (2007). Statistics and brain imaging in the study of mental illness. Chance 20: 59-62.
7. Ogden, R. T., Ojha, A., Erlandsson, K., Oquendo, M. A., Mann, J. J., and Parsey, R. V. (2007) In vivo quantification of serotonin transporters using [11C]DASB and positron emission tomographyin humans: Modeling considerations.Journal of Cerebral Blood Flow and Metabolism 27: 205-217. PMID: 1673605.
8. Jiang, H. and Ogden, R. T. (2008). Mixture modeling for dynamic PET data. Statistica Sinica 18: 1341-1356.
9. Chang, C. and Ogden, R. T. (2009). Bootstrapping sums of independent but not identically distributed continuous processes with applications to functional data. Journal of Multivariate Analysis 100: 1291-1303.
10. Reiss, P. T. and Ogden, R. T. (2009). Smoothing parameter selection for a class of semiparametric linear models.Journal of the Royal Statistical Society, Series B 71: 505-523.
11. Chang, C. and Ogden, R. T. (2009). Robust fitting for neuroreceptor mapping. Statistics in Medicine 28: 1004-1016. PMID: 19109810
12. Ogden, R. T. and Jiang, H. (2010). Nonparametric evaluation of heterogeneity of brain regions in neuroreceptor mapping applications. Statistics and Its Interface 3: 59-67.
13. Ogden, R. T. and Greene, E. (2010). Wavelet modeling of functional random effects with application to human vision data. Journal of Statistical Planning and Inference 140:3797-3808.
14. Reiss, P. T. and Ogden, R. T. (2010). Functional generalized linear models with images as predictors. Biometrics 66: 61-69. PMID: 19432766
15. Zhao, Y., Ogden, R. T., and Reiss, P. T. Wavelet-based LASSO in functional linear regression, in press, Journal of Computational and Graphical Statistics.