Articles Published, Accepted, or In Review


Statistical Methods for Image Analysis
  1. *Song, Y., Nathoo, F.S.,  Babul A., The Analysis of Face Perception MEG and EEG Data Using a Potts-Mixture Spatiotemporal Joint Model. Submitted for publication. Preprint available on arXiv here.
  2. *Teng, M., Nathoo, F.S., Johnson, T.D., Bayesian Analysis of fMRI data with Spatially-Varying Autoregressive Orders. Submitted for publication. Preprint available on arXiv here.
  3. Nathoo, F.S., Kong, L., Zhu, H., A Review of Statistical Methods in Imaging Genetics. Canadian Journal of Statistics, under revision. Preprint available on arXiv here.
  4. *Teng, M., Johnson, T.D., Nathoo, F.S. Time Series Analysis of fMRI Data: Spatial Modeling and Bayesian Computation. Statistics in Medicine, under revision. Preprint available on arXiv here.
  5. *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. The R package 'bgsmtr' implemeting the model is available on CRAN. Preprint available on arXiv here.
  6. Szefer, E., Lu, D., Nathoo, F.S., M.F. Beg, 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,  DOI: https://doi.org/10.1515/sagmb-2016-0077. Preprint available on bioRXiv here.
  7. Nathoo, F.S., *Greenlaw, K., Lesperance, M.L. (2016). Regularization parameter selection for a Bayesian multi-level group lasso regression model with application to imaging genomics.  Pattern Recognition in Neuroimaging (PRNI), 2016 International Workshop on. IEEE, 2016. DOI: 10.1109/PRNI.2016.7552328. Preprint available on arXiv here.
  8. *Croteau, N., Nathoo, F.S., Cao, J., Budney, R. (2016) High-dimensional classification for brain decoding. "Big and Complex Data Analysis: Statistical Methodologies and Applications.", Springer, Edited Volume, Ahmed, S. E. (Ed.). Preprint available on arXiv here.
  9. Nathoo, F.S. and Babul, A. (2014), Statistical Modeling of Electromagnetic Neuroimaging data (invited note). Notes of the Canadian Mathematical Society, 46, no 2, 13-14.
  10. Nathoo, F.S., Babul, A., Moiseev, A. Virji-Babul, N., Beg, M.F. (2013). A Variational Bayes Spatiotemporal Model for Electromagnetic Brain Mapping. Biometrics, DOI: 10.1111/biom.12126.
  11. Nathoo, F.S., Lawson, A.B., Dean, C.B. (2012). Guest editors' introduction to the special issue on spatial statistics for neuroimaging. Statistical Methods in Medical Research, DOI: 10.1177/0962280212448971.
  12. Nathoo, F.S., Lesperance, M.L., Lawson, A.B., Dean, C.B. (2012). "Comparing Variational Bayes with Markov Chain Monte Carlo for Bayesian Computation in Neuroimaging." Statistical Methods in Medical Research, DOI: 10.1177/0962280212448973. 
  13. *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.

Bayesian Methods and Statistical Modelling
  1. *Song, Y., Nathoo, F.S., Masson, M.E.J. (2017). A Bayesian approach to the mixed effects analysis of repeated measures accuracy studies. Journal of Memory and Language, DOI: 10.1016/j.jml.2017.05.002. R software implementing the methods in this paper is available here
  2. *Teng, M., Nathoo, F.S., Johnson, T.D. (2017). Bayesian Computation for Log Gaussian Cox Processes: A Comparative Analysis of Methods. Journal of Statistical Computation and Simulation, DOI: 10.1080/00949655.2017.1326117. Preprint available on arXiv here.
  3. Moss, A., Juarez-Colunga, E., Nathoo, F.S., Wagner, B., Sagel, S. (2016) Comparison of Change Point Models: A Simulation and Case Study in Modeling Lung Function in Children with Cystic Fibrosis. Statistics in Medicine, DOI: 10.1002/sim.6845.
  4. 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. As of September, 2015, this paper is on the list of 'Most Downloaded Journal of Mathematical Psychology Articles'.
  5. Lesperance, M.L., *Sabelnykova V., Nathoo F.S., Lau, F., Downing, G.M. (2015) A Joint Model for Interval-Censored Functional Decline Trajectories Under Informative Observation. Statistics in Medicine, doi: 10.1002/sim.6582.
  6. Ghosh, P., Nathoo F.S., Gonenn, M.,  and Tiwari, R.C. (2010). "Assessing noninferiority in a three-arm trial using the Bayesian approach." Statistics in Medicine, 30, 1795-1808.

Statistics for Spatial Data and GIS
  1. Bourbonnais ML, Nelson TA, Stenhouse GB, Wulder MA, White JC, Hobart GW,Hermosilla T, Coops NC, Nathoo F.S., Darimont C. (2017). Characterizing spatial-temporal patterns of landscape disturbance and recovery in western Alberta, Canada using a functional data analysis approach. Ecological Informatics, DOI: 10.1016/j.ecoinf.2017.04.010.
  2. Fitterer, J., Nelson, T.A., and Nathoo, F.S. (2014).  Predictive crime mapping. Police Practice and Research, DOI: 10.1080/15614263.2014.972618.
  3. 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.
  4. Long, JA, Nelson, TA, Nathoo, F.S. (2013). Towards a kinetic based probabilistic time geography. International Journal of Geographical Information Science. DOI: 10.1080/13658816.2013.818151.
  5. 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.
  6. 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, DOI: 10.1016/j.sste.2012.04.008.
  7. Morrison, K.T., Nelson, T.A., Nathoo, F.S., Ostry A.S. (2011). "Application of Bayesian spatial smoothing models to assess agricultural self-sufficiency." International Journal of Geographical Information Science, DOI:10.1080/13658816.2011.633491.
  8. 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. 
  9. Nathoo, F.S. (2010). "Space-time regression modeling of tree growth using the skew-t distribution." Environmetrics, DOI: 10.1002/env.1057. The R code to fit the process convolution model is available in two files: file1 and file2. The WinBUGS code to fit the Markov random field model is available here.
  10. Nathoo, F.S. (2010). "Joint spatial modeling of recurrent infection and growth with processes under intermittent observation." Biometrics, 66, 336-346.
  11. Nathoo, F.S. and Dean, C.B. (2008). "Spatial multi-state transitional models for longitudinal event data." Biometrics, 64, 271-279.
  12. Dean, C.B., Nathoo, F.S. and Nielson, J.D. (2007). "Spatial and mixture models for recurrent event processes." Enivronmetrics, 18, 713-725.
  13. Nathoo, F.S. and Dean, C.B. (2007). "A mixed mover-stayer model for spatio-temporal two-state processes." Biometrics, 63, 881-891.
  14. Nathoo, F.S., Ainsworth, L., Gill, P. and Dean, C.B. (2006). "Codling moth incidence in Okanagan orchards." Canadian Journal of Statistics, 34, 493-530.
  15. Nathoo, F.S. and Dean, C.B. (2005). "Spatial multi-state models with application to revascularization intervention in Quebec." Geomatica 59, 335-343. 
 
Other Papers
  1. Swartz, T. B., Tennakoon, A., Nathoo, F.S., Tsao, M., *Sarohia, P. (2011). "Playoff Series: Psychological Ups and Downs." Journal of Quantitative Analysis in Sports, Vol. 7: Iss. 4, Article 3. DOI: 10.2202/1559-0410.1372.
  2. Virji-Babul, N., Watt, K., Nathoo, F.S. and Johnson, P (2011). "Dynamic facial expression recognition in Down syndrome." Physical and Occupational Therapy in Pediatrics, DOI: 10.3109/01942638.2011.653626

Student co-authors under my supervision or co-supervision are indicated by '*' while other student co-authors are not indicated . Please feel free to e-mail me if you would like more information about my research.

I have co-edited a special issue of Statistical Methods in Medical Research focussing on statistics for brain imaging. Click here to view the contents.

Click here to view the video of a presentation on MEG/EEG source localization I gave at the 2012 Workshop on Mathematics of Brain Imaging.

Click here to view the video of a presentation on imaging genomics I gave at the 2016 BIRS Workshop on Mathematical and Statistical Challenges for Neuroimaging.

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