2019 - present: Guest Co-Editor, Canadain Journal of Statistics
, Special Issue on Neuroimaging Data Analysis. The call for submissions is here
2016 - present: Associate Editor, Canadian Journal of Statistics
2013: Guest Co-Editor, Statistical Methods in Medical Research
, Special Issue on Statistics for Imaging
This special issue contains five papers focussed on
neuroimaging statistics: Bayesian nonparametric modeling of fMRI data;
brain activity with positron-emission tomography using a Bayesian spatial model; Bayesian computation
for neuroimaging within the context of the electromagnetic inverse problem; spectral analysis of resting-state
magnetoencephalography data with space-varying regression; constructing
shape features and detecting hippocampal shape changes in early
Alzheimer’s using support vector machines.
Service and Professional Activities:
- Member of the Board of Directors, Canadian Statistical Sciences Institute, 2018 - 2021.
- NSERC Mathematics and Statistics Evaluation Group (EG 1508), 2016-2019.
- Member of
the Organizing Committee, The Seventh International Workshop on the
Perspectives on High-Dimensional Data Analysis, CMAT, Guanajuato,
Mexico, June 2017.
- Member of the Local Organizing Committee, Organization for
Human Brain Mapping (OHBM) Annual Meeting, Vancouver, British
Columbia, June 2017.
- Member of the Organizing Committee, The Sixth International
Workshop on the Perspectives on High-Dimensional Data Analysis,
Fields Institute, May 2016.
- Member of the Organizing Committee, Mathematical and Statistical Challenges in Neuroimaging Data Analysis, BIRS, January 2016.
- Program Co-Chair, Workshop on Applied Topology and High-Dimensional Data Analysis, University of Victoria, August 2015.
- Member of the Organizing Committee, International Workshop on the Perspectives on High-dimensional Data Analysis III, Vancouver, May 2013.
Co-Chair, GEOMED 2011:
GeoMedical Systems and Spatial Statistics International Conference,
Victoria, October 2011.
- Nie, Y., *Yasmin, L., *Song, Y., Scarapicchia, V., Gawryluk,
J., Wang, L., Cao, J., Nathoo, F.S. Spectral Dynamic Causal Modelling
of Resting-State fMRI: Relating Effective Brain Connectivity in the
Default Mode Network to Genetics. Submitted for publication.
- *Song, Y., Ge, S., Cao, J., Wang, L., Nathoo, F.S. A Bayesian
Spatial Model for Imaging Genetics. Under revision for Biometrics.
- *Song, Y., Nathoo, F.S., Babul A. (2019). A Potts-Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data. Canadian Journal of Statistics, accepted for publication.
- Nathoo, F.S.,
Kong, L., Zhu, H. (2018). A Review of Statistical Methods in Imaging Genetics. Canadian Journal of Statistics, DOI: 10.1002/cjs.11487.
- *Teng, M., Johnson, T.D., Nathoo, F.S. (2018). Time Series Analysis of fMRI Data: Spatial Modeling and Bayesian Computation. Statistics in Medicine, DOI: 10.1002/sim.7680.
- *Teng, M., Nathoo, F.S., Johnson, T.D. (2018). Bayesian Analysis of fMRI data with Spatially-Varying Autoregressive Orders. Journal of the Royal Statistical Society: Series C, DOI https://doi.org/10.1111/rssc.12320.
- *Shi, S. and Nathoo, F.S. (2018), Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging. In 2018 4th International Conference on Big Data and Information Analytics (BigDIA) (pp. 1-5). IEEE.
- Nathoo, F.S., *Kilshaw, R.E., Masson, M.E.J. (2018). A
Better (Bayesian) Interval Estimate for Within-Subject
Designs. Journal of Mathematical Psychology, DOI: https://doi.org/10.1016/j.jmp.2018.07.005.
- *Greenlaw, K., Szefer, E., Graham, J., Lesperance, M.L., Nathoo, F.S. (2017). A Bayesian Group Sparse Mutli-Task Regression Model for Imaging Genetics. Bioinformatics, DOI: 10.1093/bioinformatics/btx215. Model derviations are contained in the supplementary material.
- Szefer, E., Lu, D., Nathoo, F., Beg, M. F., Graham, J. (2017). Multivariate
association between single-nucleotide polymorphisms in Alzgene linkage
regions and structural changes in the brain: discovery, refinement and
validation. Statistical Applications in Genetics and Molecular Biology, 16(5-6), 367-386.
- Nathoo, F.S. and Masson, E.J. M. (2015), Bayesian Alternatives to Null-Hypothesis Significance Testing for Repeated Measures Designs. Journal of Mathematical Psychology, http://dx.doi.org/10.1016/j.jmp.2015.03.003.
- Robertson, C., Long, J.A., Nathoo, F.S., Nelson, T.A., and Plouffe, C.C.F. (2014). Assessing quality of spatial models using the structural similarity index and posterior predictive checks. Geographical Analysis, 46, 53-74.
- *Ismail, S., Sun, W., Nathoo, F.S., Babul, A., Moiseev, A., Beg, M.F. Virji-Babul, N. (2012). "A Skew-t Space-Varying Regression Model for the Spectral Analysis of Resting State Brain Activity." Statistical Methods in Medical Research, DOI: 10.1177/0962280212448974.
- Nathoo, F.S., and Ghosh,
P. (2012). "Skew-Elliptical Spatial Random Effect Modeling for Areal
Data with Application to Mapping Health Utilization Rates." Statistics in Medicine, DOI: 10.1002/sim.5504.
- Long, J. A., Robertson, C., Nathoo, F.S., and Nelson, T. A. (2012). "A Bayesian space–time model for discrete spread processes on a lattice." Spatial and Spatio-temporal Epidemiology 3, no. 2: 151-162.
- Robertson, C., Sawford, K., Gunawardena, S., Nelson, T.A., Nathoo, F.S., Stephen, C. (2011). "A hidden Markov model for analysis of frontline veterinary data for emerging zoonotic disease surveillance." PLoS ONE 6(9): e24833. doi:10.1371/journal.pone.0024833.
- Nathoo, F.S. (2010). "Joint spatial modeling of recurrent infection and growth with processes under intermittent observation." Biometrics, 66, 336-346. Model derivations are contained in the supplementary material.
- Nathoo, F.S. and Dean, C.B. (2008). "Spatial multi-state transitional models for longitudinal event data." Biometrics, 64, 271-279. Model derivations are contained in the supplementary material.
- Nathoo, F.S. and Dean, C.B. (2007). "A mixed mover-stayer model for spatio-temporal two-state processes." Biometrics, 63, 881-891. Model derivations are contained in the supplementary material.
- Dean, C.B., Nathoo, F.S. and Nielson, J.D. (2007). "Spatial and mixture models for recurrent event processes." Enivronmetrics, 18, 713-725.
My trainees indicated with '*'; other
trainees are not indicated.
- CMStatistics 2019 Organized Invited Session 'Recent developments in the joint analysis of neuroimaging and genetic data'.
- Joint Statistical Meetings 2019
Organized Invited Session ‘Making an Impact in Neuroscience: Advances in
Statistical Methods for Brain Imaging’ has been accepted for the
invited program. Information for this session is available at the following link.
- Statistical Society of Canada 2019 Meeting Organized Invited Session 'A
Showcase of Student Research from the CANSSI CRT Joint Analysis of
Neuroimaging Data: High-Dimensional Problems, Spatiotemporal Models and
Computation'. Information for this session is available at the following link.
- Elected to the Board of Directors of the Canadian Statistical Sciences Institute for a three year term, 2018 - 2021.
- Member of the NSERC Mathematics and Statistics Evaluation Group (EG 1508), 2016-2019.
- Ming Teng successfully defended his PhD thesis "Bayesian Computation with Application to Spatial Models and Neuroimaging" (co-supervised with Tim Johnson at the University of Michigan) on April 24, 2017. Ming's PhD thesis is available at this link.
- Former lab member Keelin
Greenlaw won a CANSSI-sponsored Best Paper Award at the 2015
Statistical Society of Canada Student Conference.
(Hong) Li wins the TIES-WILEY Best Student Poster Award at the 2008 International Environmetrics Society Annual
Conference for her work in modelling mountain pine beetle infestation.
Students (two teams) win both of the SSC Case Studies in Data Analysis Competitions
at the 2009 Statistical Society of Canada Conference.
Currently recruiting PhD and MSc students. Interested candidates should contact Farouk Nathoo for further information. A formal application to the Department of Mathematics and Statistics, University of Victoria is required in all cases.
In Fall 2018 I am teaching MATH/STAT 452/552 (Stochastic
Processes/Applied Stochastic Models; course outline
) and STAT 460/560 (Bayesian
Statistics; course outline
). Course material will be distributed in class.
I am a co-leader (with Linglong Kong) of the Canadian Statistical Sciences Institute Collaborative Research Team: "Joint Analysis of Neuroimaging Data: High-dimensional Problems, Spatio-Temporal Models and Computation" 2016 - 2019.
- A Times Colonist News article on the team is here.
- Information on the team from the CANSSI website is here.
- An article on the team written by CANSSI is here.
- A Medical Xpress article on the team is here.
- The scientific program (including the abstracts from student
talks) for our 2016 team meeting held at the University of Victoria is