Quaecumque VeraDepartment of Mathematical and Statistical Sciences
.
Peng Zhang
Peng Zhang
Assistant Professor, Department of Mathematical and Statistical Sciences, University of Alberta

Office: CAB 431
Phone: (780) 492-4115
Fax: (780) 492-6826
Email: pengz@ualberta.ca



Education

2004 - 2006, PhD, Biostatistics, Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, Ontario.

2001 - 2003,  MA and PhD, Statistics, Department of Mathematics and Statistics, York University, Toronto, Ontario.

1994 - 1997, MA, Economics, Department of Finance and Insurance, Nankai University, Tianjin, China.

1986 - 1990, BSc, Information Science, Department of Mathematics, Nankai University, Tianjin, China.

Research Interests

Longitudinal data analysis, data mining, nonparametric regression, measurement error model and bioinformatics.

Publications

Journal Articles:

[1] Zhang, P., Wang, X. and Song, P. X.-K. (2006) Clustering categorical data based on
distance vectors. Journal of the American Statistical Association 101:355-367.

[2] Song, P. X.-K., Zhang, P. and Qu, A. (2007) Maximum likelihood inference in robust linear mixed-effects models using multivariate t distributions. Statistica Sinica 17:929-943.

[3] Zhang, P., Song, P. X.-K., Qu, A. and Greene, T. (2007) Efficient estimation for patient-specific rates of disease progression using non-normal linear mixed models. Biometrics 64:29-38.

[4] Zhang, P., Qu, Z., Fu, Y. and Song, P. X.-K. (2009) Robust transformation mixed-effects models for longitudinal continuous proportional data. Canadian Journal of Statistics 37:266-281.

[5] Browne, J., Gill, J., Dong, J., Rose, C., Johnston, O., Zhang, P., Landsberg, D. and Gill, J .(2011) The Impact of pancreas transplantation on kidney allograft survival. American Journal of Transplantation (accepted).

[6] Zhang, P., Liu, J., Dong, J., Holovati, J. L., Letcher, B. and McGann, L. E. (2011) A Bayesian adjustment for multiplicative measurement errors for a calibration problem with application to a stem cell study. Biometrics (accepted).

[7] Niu, X., Li, P. and Zhang, P. (2011) Testing homogeneity in a multivariate mixture model.
Canadian Journal of Statistics (accepted).

Conference Proceedings:


[8] Zhang, P. and Song, P. X.-K. (2009) Nonlinear random mean models for longitudinal
data analysis. Proceedings of the Twelfth Meeting of New Researchers in Statistics and
Probability.

[9] Su, W. and Zhang, P. (2009) Statistical inference on recall, precision and average precision.
Proceedings of the Twelfth Meeting of New Researchers in Statistics and Probability.

[10] Zhang, P., Feng, Y. and Wang, X. (2011) Estimation of number of clusters in categorical data using distance-based likelihood function. Proceedings of the 7th International Conference on Natural Computation & the 8th International Conference on Fuzzy Systems and Knowledge
Discovery. (accepted).

Presentations:

2005:
  • Efficient estimation of patient-specific treatment effects on disease progression using nonnormal linear mixed models. Statistical Society of Canada Annual Meeting, Saskatoon,
    Saskatchwan, Canada
  • Nonparametric approach to solving high-order pooling problem in case-control study.
    International Biometric Society Eastern North American Region 2005 Annual Meeting,
    Austin, Texas, USA
  • Efficient estimation of patient-specific treatment effects on disease progression using nonnormal linear mixed models. Poster presentation at Workshop on Current Issues in the Analysis of Incomplete Longitudinal Data, Toronto, Ontario, Canada
  • Efficient subject-specific effects estimation and modified GEE approach for longitudinal
    data. University of Pennsylvania, Philadelphia, Pennsylvania, USA
2006:
  • Efficient subject-specific effects estimation and modified GEE approach for longitudinal
    data. Yale University, New Haven, Connecticut, USA
  • Efficient subject-specific effects estimation and modified GEE approach for longitudinal
    data.
     University of Alberta, Edmonton, Alberta, Canada
  • Efficient subject-specific effects estimation and modified GEE approach for longitudinal
    data. University of Western Ontario, London, Ontario, Canada
  • Efficient subject-specific effects estimation and modified GEE approach for longitudinal
    data. McGill University, Montreal, Quebec, Canada
2007:
  • Detecting DNA copy number alterations in array CGH data. Alberta Statistician Meeting,
    Calgary, Alberta, Canada
2008;
  • Robust analysis of longitudinal proportional data using mixed-effects models. Statistical
    Society of Canada Annual Meeting, Ottawa, Ontario, Canada
2009:
  • Nonlinear joint mean-covariance modeling for longitudinal data analysis. The Third
    Annual Meeting of the Prairie Network for Research in MATHEMATICAL SCIENCES,
    University of Saskatchewan, Saskatoon, Canada
2010:
  • HD vector method for clustering categorical data. Statistical Society of Canada Annual
    Meeting, University Laval, Quebec City, Canada
  • HD vector method for clustering categorical data. International Conference on Statistical
    Analysis of Complex Data, Yunnan University, China
  • Log-gamma linear mixed models for multiple characteristics with application to a longitudinal glaucoma study. Statistical Society of Canada Annual Meeting, University Laval, Quebec City, Canada
2011:
  • Estimation of number of clusters in categorical data using distance-based likelihood function. The 7th International Conference on Natural Computation & the 8th International
    Conference on Fuzzy Systems and Knowledge Discovery, Shanghai, China



Supervision:

Current PhD students:

Dandan Luo, Random mean models for longitudinal data analysis. 2008-

Jianghu (James) Dong, Measurement error models in calibration problem and case-control study. 2008- Current position: Statistician, St. Paul’s Hospital and University of British Columbia, Vancouver, BC Canada

Graduated Master students:

Kehu Zhou, Current position: Biostatistician, Alberta Agriculture Research Institute, Red Deer, AB

Manli Yan, Current Position: Statistician, Xinhua Life Insurance Ltd., Beijing, China

Ting Wang, Current Position:
Statistician, ATB Financial, Edmonton, AB Canada
Canada





Department of Mathematical and Statistical Sciences
University of Alberta
632 Central Academic Building
Edmonton, AB T6G 2G1
Phone: 780.492.3396
Fax: 780.492.6826
Last modified 7.06.07
CAB

Home | U of A | Faculty of Science | Privacy Statement  |   | Site Map |