Note: co-authoring trainees under my sole supervision or co-supervision are marked with '*'.


1. Farouk S. Nathoo and S. Ejaz Ahmed. "Big Data Analytics and Information Science for Business and Biomedical Applications (Co-Edited Book), MDPI Publishing, 2022". ISBN 978-3-0365-3193-9 (Hbk); ISBN 978-3-0365-3192-2 (PDF). Open Access:

2. S. Ejaz Ahmed and Farouk S. Nathoo. "Big Data Analytics and Information Science for Business and Biomedical Applications Volume II (Co-Edited Book), MDPI Publishing, 2022".ISBN 978-3-0365-5549-2 (Hbk); ISBN 978-3-0365-5550-8 (PDF). (registering DOI). Open Access:

Journal Articles

51. Nancy Guo*, Aijun Yang*, Fabiha Binte Farooq*, Shreena Kalaria*, Elena Moss, Lindsay DeVorkin, Mary Lesperance, Francois Benard, Don Wilson, Anna V. Tinker, Farouk S. Nathoo, Phineas T. Hamilton, Julian J. Lum. (2023). CD8+ T cell infiltration is associated with improved survival and negatively correlates with hypoxia in clear cell ovarian cancer. Scientific Reports, doi: 10.1038/s41598-023-30655-3.

50. Beaulac*, C., Wu, S., Gibson, E., Cao, J.,  Miranda, M.,  Rocha*, L., Beg, M.F., Nathoo, F.S. (2023). Neural Network Disease Classification Based Feature Extraction for Imaging Genetics. BMC Bioinformatics,

49. Wei*, Zhengxiao, Farouk S. Nathoo, and Michael EJ Masson. (2023). "Investigating the relationship between the Bayes factor and the separation of credible intervals." Psychonomic Bulletin & Review:  DOI: 10.3758/s13423-023-02295-1.

48. L. Barnhardt, F.S.Nathoo, J. Rauw. (2022). Improving Rates of Germline BRCA Mutation Testing for Ovarian Cancer Patients on Vancouver Island, British Columbia, Canada: Implementation of a Local Consenting Seminar- a Quality Improvement Project. Journal of Oncology Practice, DOI: 10.1200/OP.22.00341.


47. Wei*, Z., Yang*, A., Rocha*, L.,  Miranda, M., Nathoo, F.S. A review of Bayesian hypothesis testing and its practical implementation. Entropy 202224(2), 161;


46. Ge, S., Wang, S., Nathoo, F.S., Wang, L. Online Bayesian Learning for Mixtures of Spatial Spline Regressions with Mixed-Effects. Journal of Statistical Computation and Simulation,


45. Eugene A. Opoku*, Farouk Nathoo, S. Ahmed. Sparse Estimation Strategies in Linear Mixed Effect Models for High-dimensional Data Application (2021) Entropy, DOI: 10.3390/e23101348.

44. Nathoo, F.S. Bayesian Methods for Imaging Genetics. (2021) Journal of Brain, Behaviour and Cognitive Sciences, 4(4),1.

43. Nathoo, F.S., Kong, L., Yi, G.Y. (2021) Special Issue on Neuroimaging data analysis: Guest Editors Introduction. Canadian Journal of Statistics,

42. Eugene A. Opoku*, S. Ahmed, Yin Song*, Farouk Nathoo. (2021). Ant Colony System Optimization for Spatiotemporal Modelling of Combined EEG and MEG Data. Entropy, 23(3), 329. This paper was highlighted on the main page of Entropy as a title story.

41. *Song, Y., Ge, S., Cao, J., Wang, L., Nathoo, F.S. (2021). A Bayesian Spatial Model for Imaging Genetics. Biometrics. ; . An R package bgsmtr implementing the methods from this paper is available on CRAN here.

40. Yunlong Nie, *Eugene Opoku, *Laila Yasmin, *Yin Song, John Wang, Sidi Wu, Vanessa Scarapicchia, Jodie Gawryluk, Liangliang Wang, Jiguo Cao, Farouk S. Nathoo. (2020). Spectral Dynamic Causal Modelling of Resting-State fMRI: Relating Effective Brain Connectivity in the Default Mode Network to Genetics. Statistical Applications in Genetics and Molecular Biology, DOI:

39. *Opoku, E.,  Ahmed, E., Nelson, T., Nathoo, F.S. (2020). Parameter and Mixture Component Estimation in Spatial Hidden Markov Models: A Comparative Analysis of Computational Methods. In International Conference on Management Science and Engineering Management (pp. 340-355). Springer, Cham.

38. *Song, Y., Nathoo, F.S., Babul A. (2019), A Potts-Mixture Spatiotemporal Joint Model for Combined MEG and EEG Data. Canadian Journal of Statistics, DOI: 10.1002/cjs.11519.

37. 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.



36. *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


35. Nathoo, F.S., *Kilshaw, R.E.,  Masson, M.E.J. (2018).  A Better (Bayesian) Interval Estimate for Within-Subject Designs.  Journal of Mathematical  Psychology,  


34. *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.


33. *Shi S. and Nathoo, F.S., Feature Learning and Classification in Neuroimaging: Predicting Cognitive Impairment from Magnetic Resonance Imaging (2018). Proceedings of the 4th International Conference on Big Data and Information Analytics.


32. *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. An R package bgsmtr implementing the methods from this paper is available on CRAN here.



31. 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:


30. *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 SimulationDOI: 10.1080/00949655.2017.1326117.


29. 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.


28. *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 LanguageDOI: 10.1016/j.jml.2017.05.002. In 2017 this paper appeared on the list of 'Most Downloaded Journal of Memory and Language Articles.


27. 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.


26. *Croteau, N., Nathoo, F.S., Cao, J., Budney, R. (2016) High-dimensional classification for brain decoding. Big and Complex Data Analysis: Statistical Methodologies and ApplicationsSpringer, Edited Volume.


25. 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.


24. 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 MedicineDOI: 10.1002/sim.6582.


23. Nathoo, F.S. and Masson, E.J. M. (2015), Bayesian Alternatives to Null-Hypothesis Significance Testing for Repeated Measures Designs. Journal of Mathematical  Psychology As of September, 2015, this paper is on the list of 'Most Downloaded Journal of Mathematical Psychology Articles'. This paper is also one of the most cited one of the most cited Journal of Mathematical Psychology articles (most cited articles published since 2015). The list of most cited articles is here.


22. Fitterer, J., Nelson, T.A., and Nathoo, F.S. (2014).  Predictive crime mapping. Police Practice and Research, DOI: 10.1080/15614263.2014.972618.


21. 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.


20. 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.


19. 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.


18. 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.


17. 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.


16. 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. 


15. *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.


14. 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.


13. 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.


12. 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 ScienceDOI:10.1080/13658816.2011.633491.


11. 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. 


10. Swartz, T. B., Tennakoon, A., Nathoo, F.S., Tsao, M., *Sarohia, P. (2011). "Playoff Series: Psychological Ups and Downs." Journal of Quantitative Analysis in SportsVol. 7: Iss. 4, Article 3. DOI: 10.2202/1559-0410.1372.


9. 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.


8. 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.


7. Nathoo, F.S. (2010). "Joint spatial modeling of recurrent infection and growth with processes under intermittent observation." Biometrics, 66, 336-346.


6. Nathoo, F.S. (2010). "Space-time regression modeling of tree growth using the skew-t distribution." Environmetrics, DOI: 10.1002/env.1057. 


5. Nathoo, F.S. and Dean, C.B. (2008). "Spatial multi-state transitional models for longitudinal event data." Biometrics, 64, 271-279.


4. Dean, C.B., Nathoo, F.S. and Nielson, J.D. (2007). "Spatial and mixture models for recurrent event processes." Enivronmetrics, 18, 713-725.


3. Nathoo, F.S. and Dean, C.B. (2007). "A mixed mover-stayer model for spatio-temporal two-state processes." Biometrics, 63, 881-891.


2. 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.


1. Nathoo, F.S. and Dean, C.B. (2005). "Spatial multi-state models with application to revascularization intervention in Quebec." Geomatica, 59, 335-343. 


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