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A. R. de Leon
Associate Professor
Ph. D. (Statistics), University of Alberta 


MS 554  
University of Calgary
Alberta, Canada
T2N 1N4
  Phone: (403) 220-6782
Fax:     (403) 282-5150
adeleon at ucalgary dot ca

 

 


I joined the Department of Mathematics and Statistics at the University of Calgary shortly after completing my Ph.D. (Statistics) at the University of Alberta with K. Carrière Chough.  My research interests lie in a number of areas, including methods for analyzing correlated data, multivariate models and distances for mixed discrete and continuous outcomes, pseudo- and composite likelihood methods, copula modelling, assessment of diagnostic tests, statistical quality control, and statistical problems in medicine, particularly in ophthalmology. 

I belong to the Research Group in Biostatistics (RGB), a group of biostatisticians in the Department of Mathematics and Statistics who carry out methodological research in statistics with emphasis on its applications in medicine and health, biology, genetics, the environment, and other related fields.  My research is supported by the Natural Sciences and Engineering Research Council (NSERC) of Canada.

I teach a variety of statistics courses ranging from introductory- and intermediate- to more advanced graduate-level courses.  Besides teaching, I also supervise graduate students as well as occasional undergraduate research students.

Winter 2012 Courses

    1.    Statistics 213: Introduction to Statistics I

Recent papers

  1. B. Wu & A. R. de Leon (2012).  Flexible random effects copula models for clustered mixed bivariate outcomes in developmental toxicology.  Submitted.
  2. A. R. de Leon, B. Wu, & N. Withanage (2012).  Gaussian copula-generated distributions for correlated discrete and continuous variables.  Submitted.
  3. A. R. de Leon, B. Wu, & N. Withanage (2012).  Joint analysis of mixed discrete and continuous outcomes via copula models.  Submitted.
  4. E. Bahrami Samani & A. R. de Leon (2011).  Analysis of mixed correlated bivariate negative binomial and continuous responses.  Submitted.
  5. A. R. de Leon & B. Wu (2011).  Copula-based regression models for a bivariate mixed discrete and continuous outcome.  Statistics in Medicine, 30(2), 175-185.
  6. A. R. de Leon, A. Soo, & T. Williamson (2011).  Classification with discrete and continuous variables via general mixed-data models.  Journal of Applied Statistics, 38(5), 1021-1032.
  7. A. R. de Leon & K. Carrière Chough (2010).  Mixed-outcome data.  In Encyclopedia of Biopharmaceutical Statistics, 3rd ed., S. C. Chow (ed.), vol. 2, pp. 817-822.
  8. A. R. de Leon, A. Soo, D. Bonzo, & C. Rudnisky (2009).  Joint estimation of diagnostic accuracy measures for paired organs-Application in ophthalmology.  Biometrical Journal, 51(5), 837-850.
  9. A. R. de Leon & Y. Zhu (2008). ANOVA extensions for mixed discrete and continuous data.  Computational Statistics & Data Analysis, 52(4), 2218-2227.

Students

  1. Beilei Wu, Ph. D. (Biostatistics), Fall 2009-present.
  2. Niroshan Withanage, Ph. D. (Statistics), Fall 2009-present.
  3. Yamuni Perera, M. Sc. (Statistics), Fall 2010-present.


Statistics Links

Statistical Society of Canada
American Statistical Association
Institute of Mathematical Statistics
International Biometric Society-Western North American Region
International Statistical Institute
International Society for Clinical Biostatistics
Statistics Departments in Canadian Universities
School of Statistics, University of the Philippines

Miscellaneous Links

The Nation
The New York Review of Books
Harper's Magazine Online
Calgary Movie Guide