Recent Presentations

2005

• Nonparametric Statistics: Some New Challenges and Promises in Medical and Biological Applications. (January) Department of Mathematics and Statistics, McMaster University.
• Non-Normal Random Effects Models. (March) Department of Statistics and Actuarial Science, University of Waterloo.
• Maximum Likelihood Estimation in Non-Normal Random Effects Models. (March) Invited at ENAR, 2005.
• Nonparametric Approaches to Microarray Data Analysis. (April) Department of Mathemetics and Statistics, University of Calgary.
• Longitudinal and Clustered Data Analysis: An Overview. (April) NPCDS Workshop, Banff, Alberta.
• Estimation of high-order/nonparametric exposure effects in case-control studies by local linear fitting approach. (June) Invited at 2005 ICSA Applied Statistics Symposium in Washington DC.
• Nonparametric Statistical Approaches in Bioinformatics. (October) Department of Biotatistics, Georgetown University Medical Center, Washington DC.
• Issues on the estimation of subject-specific treatment effects when random effects are not normally distributed. (November) Technical Meeting at the GSK, Oakville, Ontario.

2006

• Gaussian copulas and applications. (Feburary) Department of Mathematics and Statistics, Universite Laval, Quebec City.
• Longitudinal Data Analysis -- An Overview: Successes and Challenges. (April) Department of Statistics and Applied Probability, Beijing University, China
• Maximization by Parts in Likelihood Inference. (Apirl) Statistical Center, Chinese Academy of Sciences, China
• Maximization by Parts in Likelihood Inference. (Apirl) Department of Statistics, University of Science and Technology of China
• Longitudinal Data Analysis -- An Overview: Successes and Challenges. (April) Department of Statistics, University of Science and Technology of China
• Series of seminars in Statistical Computing. (April) Faculty of Mathematics, Sichuan University, China
• A Time Deformation Return Model for Financial Transaction Data. (April) School of Statistics, Southwestern University of Finance and Economics, China
• Vector Generalized Linear Models. (April) Department of Applied Mathematics, Chongqing University, China
• Modeling High Frequency Financial Time Series. (April) Faculty of Mathematics, University of Electronic Sciences of China
• Vector Generalized Linear Models. (April) Department of Applied Mathematics, Southwest Jiaotong University, China
• Maximization by Parts in Likelihood Inference. (May) Department of Statistics, Northwestern University, USA.
• Information Matrix: From Fisher to Godambe. (May) The 2006 SSC, London, Ontario
• Maximization by Parts in Likelihood Inference. (June) Technical University of Munich, Germany.
• Robust and Influence Analysis in Linear Mixed-Effects Models. (July) The 23rd IBC, Montreal, Quebec
• Missing Data Problem (Lecture and Lab) (August) Summer Workshop on Modern Applied Methods in Biostatistics, University of Toronto.
• Handling Missing Data in Linear Mixed-Effects Models. (September) The TABA Gathering, Prince Margaret Hospital, Toronto.
• Estimating Time-Varying Treatment Effectiveness in Clinical Trials. (November) GlaxoSmithKline Inc., Oakville, Ontario.

2007

• Constructing Gene Networks with Time-Course Microarray Data. (February) Department of Biotatistics, University of Michigan.
• Essential Skills for New Investigators in Statistics. (May) Keynote Speech at SOSGSSD 2007.
• Will QIF Take Over GEE in Longitudinal Data Analysis? (May) SAS Canada sponsored talk at the 2007 SSC, St John's.
• An Efficient Two-Stage Estimation in Gaussian Copulas. (June) Invited talk at the Institute of Quantative Finance and Insurance, University of Waterloo.
• Statistical Inference for Gene Networks. (June) Workshop on Statistical Analysis of High-Throughput Genetic Data. Banff, Alberta.
• Quadratic Inference Functions in Marginal Models for Longitudinal Data. (October) Department of Biostatistics, University of Buffalo, NY.

2008

• Quadratic inference functions in marginal models for longitudinal data. (March) 2008 ENAR, Arlington, Virginia.
• Constructing Gene Networks with Time-Course Microarray Data. (March) Department of Biostatistics, University of Pennsylvania.
• Composite Likelihood Approach to Gene Network Construction. (May) Department of Statistics, University of Manitoba.
• Joint Regression Analysis of Correlated Data Using Gaussian Copulas. (May) 2008 SSC, Ottawa.
• Longitudinal Data Analysis. (June) Department of Statistics, University of Padova, Italy.
• Random mean models for clustered or longitudinal Data. (July) 2008 WNAR, UC Davis.
• Composite Likelihood EM (CLEM) Algorithm and Applications (September) Department of Biostatistics, Columbia University.

2009

• SAS MACRO QIF: Transition of methodology research to applications. (March) 2009 ENAR, San Antonio, Texas.
• Composite likelihood Bayesian information criteria for model selection in high dimensional data. (April) Department of Statistics, University of Illinois, Urbana-Champaign.
• Selection of fixed and random effects in linear mixed-effects models. (April) Department of Statistics, University of British Columbia, Vancouver.
• Composite likelihood EM algorithm in incomplete high-dimensional correlated data analysis. (April) Department of Statistics and Actuarial Science, Simon Fraser University, Vancouver.
• Selection of fixed and random effects in linear mixed-effects models. (July) IMS-China International Conference on Statistics and Probability, Weihai, China.
• Joint regression analysis of correlated data using Gaussian copulas. (July) International Conference on Nonparametric Statistics, Chengdu, China.
• Some recent developments in quadratic inference functions (QIF). (August) Workshop on Emerging Issues in the Analysis of Longitudinal Data, Banff, Canada.
• Longitudinal Data Analysis: Semiparametric and Nonparametric Approaches. (August) Joint Statistics Meeting, Washington DC.
• Composite Likelihood Bayesian Information Criteria for Model Selection in High Dimensional Data. (September) Department of Statistics, Cargegie Mellon University.
• Improving Quadratic Inference Functions via Covariance Matrix Shrinkage. (December) 2009 CMS Winter Meeting, Windsor, Canada.

2010

• Composite likelihood Bayesian information criteria for model selection in high dimensional data. (February) MD Anderson Cancer Center, Houston.
• Gene Network Construction and Inference Using Multivariate Hidden Markov Models With Time-Course Gene Expression Data Davision of Biostatistics, Washington University, St Louis (March).
• Composite likelihood Bayesian information criteria for model selection in high dimensional data. (April) School of Statistics, University of Minnesota (April).
• Gene Network Construction and Inference Using Multivariate Hidden Markov Models with Time-Course Gene Expression Data Interdisciplinary Group Seminar Talk at University of Michigan (April).
• Stochastic diffusion model for continuous-time functional data International Workshop on Complex Data Analysis, Chengdu (July).
• Selection of fixed and random effects through doubly penalized REML. International Conference on Statistics and Society, Beijing (July).
• The 1st Biostatistics Symposium, Beijing (July).
• Validating data merging in longitudinal studies with or without covariates missing by design. JSM 2010, Vancouver (August).
• Biometric challenges in nephrological bioinformatics. ICALIP 2010, Shanghai (November).
• Composite joint estimating functions and applications in spatio-temporal models. Shanghai University of Finance and Economics, Shanghai (November).
• Stochastic diffusion model for continuous-time functional data Seminar at East China Normal University, Shanghai (November).
• Composite Likelihood Bayesian Information Criteria for Model Selection in High Dimensional Data. ICSA 2010, Guangzhou (December).
• Information ratio test for model misspecification on volatility structures in stochastic diffusion models (December). The 3rd International Conference of the ERCIM WG on Computing & Statistics (ERCIM'10), London, UK.

2011

• Estimating equation approach to merginal longitudinal data (March) Statistical Methods for HIV Research workshop, Montreal.
• SOFARE: Selection Of Fixed And Random Effects in linear mixed-effects models for high-dimensional longitudinal data (April) Bowling Green State University.