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Department of Statistical and Actuarial Sciences
Center of Actuarial Excellence (CAE)
People

Professor

Dr. Charmaine Dean (Dean of Science)
Office WSC 184
Phone519-661-2111 ext 89192
Emailscidean@uwo.ca
Website http://www.uwo.ca/sci/dean/

PhD University of Waterloo, 1988
Publications
  • Ainsworth, L., Dean, C. and Joy, R. (2016). Zero-inflated spatial models: Application and interpretation. Lecture Notes in Statistics, 218 75-96.
  • Bellhouse, D. R., Dean, C., Froda, S. and Heckman, N. (2015). Vignette 7.1 A glimpse into women who lay the foundation for the development of statistics in Canada. Advancing Women in Science: An International Perspective, 219-225.
  • Dean, C., Hosseini, R., Newlands, N. K. and Takemura, A. (2015). Statistical modeling of soil moisture, integrating satellite remote-sensing (SAR) and ground-based data. Remote Sensing, 7 (3): 2752-2780.
  • Cao, J., Martell, D. L., Woolford, D. G., Dean, C. and Wotton, B. M. (2014). Lightning-caused forest fire risk in Northwestern Ontario, Canada, is increasing and associated with anomalies in fire weather. Environmetrics, 25 (6): 406-416.
  • Dean, C., Fallah, N., Mitniski, A. B. and Rockwood, K. (2014). A multi-state model for the analysis of changes in cognitive scores over a fixed time interval. Statistical Methods in Medical Research, 23 (3): 244-256.
  • Dean, C. and Cambell, H. (2014). The consequences of proportional hazards based model selection. Statistics in Medicine, 33 (6): 1042-1056.
  • Balshaw, R., Dean, C. and Juarez-Colunga, E. (2014). Efficient panel designs for longitudinal recurrent event studies recording panel counts. Biostatistics, 15 (2): 234-250.
  • Juarez-Colunga, E. and Dean, C. (2014). Analysis of over-and Underdispersed Data. Methods and Applications of Statistics in Clinical Trials, 2: 1-9.
  • Martell, D. L., Woolford, D. G., Dean, C. and Albert-Green, . (2013). Document A methodology for investigating trends in changes in the timing of the fire season with applications to lightning-caused forest fires in Alberta and Ontario, Canada. Canadian Journal of Forest Research, 43 (1) 39-45.
  • Feng, C. X., Dean, C. and Reich, R. (2013). Document Impact of misspecifying spatial exposures in a generalized additive modeling framework: With application to the study of the dynamics of Comandra blister rust in British Columbia. Environmetrics, 24 (2): 63-80.
  • Lesperance, M. L., Nathoo, F., Dean, C. and Lawson, A. B. (2013). Comparing variational Bayes with Markov chain Monte Carlo for Bayesian computation in neuroimaging. Statistical Methods in Medical Research, 22 (4): 398-423.
  • Martell, D. L., Woolford, D. G., Dean, C. and Taylor, S. W. (2013). Wildfire prediction to inform fire management: Statistical science challenges. Statistical Science, 28 (4): 586-615.
  • Lee, T. C. K., Dean, C. and Semenciw, R. (2013). Estimating variability for age-standardized hospital morbidity rates: A comparative study of automated methods for web-based atlas production using medical databases. Health Services and Outcomes Research Methodology, 13 (2-4): 124-139.
  • Dean, C., Lee, S. K., Nepomnaschy, P. A. and Zeng, L. (2012). Who is stressed? Comparing cortisol levels between individuals. American Journal of Human Biology, 24 (4): 515-525.
  • Dean, C. and Feng, C. X. (2012). Document Joint analysis of multivariate spatial count and zero-heavy count outcomes using common spatial factor models. Environmetrics, 23 (6): 493-508.
  • Ghahramani, M., Dean, C., Whitfield, P. H. and Zhang, M. (2012). Statistical modelling of temporary streams in Canadian prairie provinces. Canadian Water Resources Journal, 37 (4): 373-389.
  • Dean, C. (2010). Review of Negative Binomial Regression, by J.M. Hilbe, Cambridge University Press. Journal of the American Statistical Association, 105 442.
  • Woolford, D. G., Dean, C., Martell, D. L. and Braun, W. L. (2010). A Modelling Framework for the Seasonal Variation of Forest Fire Characteristics. Environmetrics, .
  • Ainsworth, L. and Dean, C. (2010). Zero-inflated Spatial models. Environmental and Ecological Statistics, .
  • Wan, V., Braun, W. L., Henderson, S. and Dean, C. (2010). A Comparison of Classification Algorithms for the Identification of Smoke Plumes from Satellite Images. Statistical Methods in Medical Research, 20(2) 131-156.
  • Woolford, D. G., Bellhouse, D. R., Braun, W. L., Martell, D. L., Sun, J. and Dean, C. (2010). A Spatio-temporal Model for People-Caused Forest Fire Occurrence in the Romeo Malette Forest. Journal of Environmental Statistics, 2 1-26.
  • Woolford, D. G., Cao, J., Martell, D. L. and Dean, C. (2010). Characterizing temporal changes in forest fire ignitions: looking for climate change signals in a region of the Canadian boreal forest. Environmetrics, 21 789-800.
  • Dharamsi, S., Jivani, K., Dean, C. and Wyatt, C. (2009). Assessment of a Daily Mouth Care Education Initiative for Elderly Long-term Care Residents. Journal of Dental Education, 73 581-588.
  • Woolford, D. G., Braun, W. L., Dean, C. and Martell, D. L. (2009). Site-Specific Seasonal Baselines for Fire Risk in Ontario. Geomatica, 63 211-219.
  • Dean, C. (2008). Overdispersion. Encyclopedia of Clinical Trials, Wiley, R.B. D'Agostino, L. Sullivan, and J. Massaro (eds.), .
  • Silva, G. L., Dean, C., Niyonsenga, T. and Vanasse, A. (2008). Hierarchical Bayesian Spatiotemporal Analysis of Revascularization Odds using Smoothing Splines. Statistics in Medicine, 27 2381-2401.
  • Nathoo, F. and Dean, C. (2008). Spatial Multi-State Transitional Models for Longitudinal Event Data. Biometrics, 64 271-279.
  • Nielsen, J. D. and Dean, C. (2008). Adaptive Functional Mixed Nonhomogeneous Poisson Process Models for the Analysis of Recurrent Event Panel Data. Computational Statistics and Data Analysis, 52 3670-3685.
  • Nielsen, J. D. and Dean, C. (2008). Clustered Mixed Non-homogeneous Poisson Process Spline Models for the Analysis of Recurrent Event Panel Data. Biometrics, 64 751-761.
  • Silva, G. L., Dean, C., Niyonsenga, T. and Vanasse, A. (2007). Hierarchical spatiotemporal models for correlated binomial data. In Bayesian Theory and Practice. Proceedings of 56th Session of the International Statistical Institute, Portugal.
  • Zheng, Y., Cooper, P. J. and Dean, C. (2007). Modeling the Contribution of Speeding and Impaired Driving to Insurance Claim Counts and Costs when Contributing Factors are Unknown. Journal of Safety Research, 38 25-33.
  • Dean, C., Nathoo, F. and Nielsen, J. D. (2007). Spatial and Mixture Models for Recurrent Event Processes. Environmetrics, 18 713-725.
  • Prior, J. C., Nielsen, J. D., Hitchcock, C. A., Williams, L. A. and Dean, C. (2007). Medroxyprogesterone and conjugated estrogen are equivalent for hot flushes: a 1-year randomized double-blind trial following premenopausal ovariectomy. Clinical Science, 112 V. 10 517-525.
  • Nathoo, F. and Dean, C. (2007). A Mixed Mover-Stayer Model for Spatio-Temporal Two-State Processes. Biometrics, 63 979-986.
  • Nielsen, J. D. and Dean, C. (2007). Generalized linear mixed models: a review and some extensions. Lifetime Data Analysis, 13 497-512.
  • Ainsworth, L. and Dean, C. (2007). Detection of Local and Global Outliers in Mapping Studies. Environmetrics, 19 21-37.
  • Nathoo, F., Ainsworth, L., Gill, P. and Dean, C. (2006). Codling Moth Incidence in Okanagan Orchards. Canadian Journal of Statistics, 34 493-530.
  • Ainsworth, L. and Dean, C. (2006). Approximate Inference for Disease Mapping. Computational Statistics and Data Analysis, 50 2552-2570.
  • Synnes, A. R., MacNab, Y., Qui, Z., Ohlsson, A., Gustafson, P., Lee, S. K., Dean, C. and Canadian, N. N. (2006). Neonatal Care Unit Characteristics Affect the Incidence of Severe Intraventricular Hemorrhage. Medical Care, 44 745-759.
  • Getzin, S., Dean, C., He, F., Trofymow, T., Wiegand, K. and Wiegand, T. (2006). Spatial Patterns and Competition of Tree Species in a Chronosequence of Douglas Fir Forest on Vancouver Island. Ecography, 29 671-682.
  • MacNab, Y. and Dean, C. (2005). Spatio-temporal models. Encyclopedia of Biopharmaceutical Statistics: Second Edition, Wiley, Shein-Chung Chow (ed.), 1 1-10.
  • MacNab, Y., Qui, Z., Gustafson, P., Dean, C., Ohlsson, A. and Lee, S. K. (2005). Hierarchical Bayes Analysis of Multilevel Health Services Data: A Canadian Neonatal Mortality Study. Health Services and Outcomes Research Methodology, 5 5-26.
  • Silva, G. L., Dean, C., Courteau, J., Niyonsenga, T. and Vanasse, A. (2005). Analise espacial de admissio de pacientes com enfarte do miocardio em Quebeque. in Carlos A. Braumann, C.A., Infante, P., Oliveira, M.M., Alpazar-Jara, R. and Rosado, F. (Eds.), Estatastica Jubilar Proceedings of the XII SPE Annual Congress, 717-722.
  • Nielsen, J. D. and Dean, C. (2005). Regression Splines in the Quasi-Likelihood Analysis of Recurrent Event Data. Journal of Statistical Planning and Inference, 134 521-535.
  • Nathoo, F. and Dean, C. (2005). Spatial Multi-State Models with Application to Revascularization Intervention in Quebec. Geomatica, 59 335-343.
  • Dean, C., Ugarte, M. D. and Militino, A. F. (2004). Penalized Quasi-Likelihood with Spatially Correlated Data. Computational Statistics and Data Analysis, 45 235-248.
  • Niyonsenga, T., Courteau, J., Dean, C., Hemiari, A., B'ni', G. and Vanasse, A. (2004). Geomatics, Epidemiology and Biostatistics : an Application to Acute Coronary Syndrome. In J. Pilz (Ed.): Interfacing Geostatistics, GIS and Spatial Data Bases. Proceedings of the International Workshop StatGIS2003, Springer Berlin-Heidelberg.
  • MacNab, Y. and Dean, C. (2002). Spatio-Temporal Modeling of Rates. Statistics in Medicine, 21 347-358.
  • Balshaw, R. and Dean, C. (2002). A Semi-Parametric Model for Recurrent Event Panel Data. Biometrics, 58 324-331.
  • Dean, C., Ugarte, M. D. and Militino, A. F. (2001). Detecting Interaction between Random Region and Fixed Age Effects in Disease Mapping. Biometrics, 57 197-202.
  • Dean, C. and Balshaw, R. (2001). Methods for the Analysis of Recurrent Events. Proceedings of the International Biometric Society Spanish Regional Meeting, Univeridad Publica de Navarra, 37-41.
  • Ghahramani, M., Dean, C. and Spinelli, J. (2001). Simultaneous Modeling of Operative Mortality and Long-term Survival after Coronary Artery Bypass Surgery. Statistics in Medicine, 20 1931-1945.
  • Militino, A. F., Ugarte, M. D. and Dean, C. (2001). The Use of Mixture Models for Identifying High Rates in Disease Mapping. Statistics in Medicine, 20 2035-2049.
  • MacNab, Y. and Dean, C. (2001). Autoregressive Spatial Smoothing and Temporal Spline Smoothing for Mapping Rates. Biometrics, 57 949-956.
  • Dean, C. and MacNab, Y. (2001). Modeling of Rates over a Hierarchical Health Administrative Structure. Canadian Journal of Statistics, 29 405-419.
  • MacNab, Y. and Dean, C. (2000). Parametric Bootstrap and Penalized Quasi-Likelihood Inference in Conditional Autoregressive Models. Statistics in Medicine, 19 2421-2435.
  • Dean, C. (1998). Overdispersion. Encyclopedia of Biostatistics Wiley, P. Armitage and T. Colton (eds.), 1 467-472.
  • Dean, C. and Balshaw, R. (1997). Efficiency lost by analyzing counts rather than event times in random effects Poisson processes. Journal of the American Statistical Association, 92 1387-1398.
  • Zhan, M., Farrell, A. P., Gallaugher, P., Routledge, R., Thorarensen, H. and Dean, C. (1996). Inference on Segmented Polynomial Models. Biometrics, 52 321-327.
  • Dean, C., Eaves, D. M. and Martinez, C. J. (1995). A comment on the use of Empirical Covariance Matrices in the Analysis of Count Data. Journal of Statistical Planning and Inference, 48 197-205.
  • Vickers, M. H., Ching, H. L. and Dean, C. (1995). Do Science Promotion Programs make a Difference?. Proceeding of the Meetings in Science and Engineering, Fredericton N.B..
  • Dean, C. (1994). A modified pseudo-likelihood estimator of the over-dispersion parameter in Poisson mixture models. Journal of Applied Statistics, 21 523-532.
  • Esterby, S. R. and Dean, C. (1994). Statistical issues in water quality monitoring. Liaison, 8 12.
  • Dean, C. (1993). A robust property of pseudo-likelihood estimation for count data. Journal of Statistical Planning and Inference, 35 309-317.
  • Dean, C. (1992). Interferon as a Treatment for Multiple Sclerosis. Canadian Journal of Statistics, 20 26-102.
  • Dean, C. (1992). Testing for overdispersion in Poisson and binomial regression models. Journal of the American Statistical Association, 87 451-457.
  • Dean, C. (1991). Estimating equations for mixed-Poisson models. Estimating Functions, Oxford University Press, V.P. Godambe (ed.), 1 35-46.
  • Dean, C. and Lawless, J. F. (1989). Tests for detecting overdispersion in Poisson regression models. Journal of the American Statistical Association, 84 467-472.
  • Dean, C. (1989). Discussion of `An Extension of Quasi-Likelihood Estimation', by Godambe and Thompson. Journal of Statistical Planning and Inference, 22 155-158.
  • Dean, C., Lawless, J. F. and Willmont, G. E. (1989). A mixed-Poisson-inverse Gaussian regression model. Canadian Journal of Statistics, 17 171-181.