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Session 1:(This session will be scheduled on 12/20 or 12/21, 2010.)
Session Organizers: Bin Wang, University of South Alabama, USA, bwang@jaguar1.usouthal.edu
Xiangrong Yin, University of Georgia, USA, xryin@stat.uga.edu
Session Title: Informatics and Measurement Errors
Session Chair: Zhaohai Li, George Washington University, USA, zli@gwu.edu
Speaker 1: Jiayang Sun, Case Western Reserve University, USA, jiayang@sun.STAT.cwru.edu,
nFCA: Numerical Formal Concept Analysis
Speaker 2: Xiao-Feng Wang, Cleveland Clinic Foundation, USA, xfwang@gmail.com,
Semiparametric Deconvolution in Gene Array Background Correction
Speaker 3: Bin Wang, University of South Alabama, USA, bwang@jaguar1.usouthal.edu,
Normalizing MicroRNA Microarray Data Based on a Measurement Error Model
Session 2:
Session Organizer: Xiaotong Shen, University of Minnesota, USA, xshen@stat.umn.edu
Session Title: Structured and Unstructured Learning for High-Dimensional Problems
Session Chair: Yongli Zhang, University of Oregon, USA, yongli.zhang@gmail.com
Speaker 1: Ji Zhu, University of Michigan, USA, jizhu@umich.edu,
Extracting Communities from Networks
Speaker 2: Junhui Wang, UIC, USA, Junhui@uic.edu,
Consistent Selection of the Number of Clusters via Clustering Stability
Speaker 3: Yongli Zhang, University of Oregon, USA, yongli.zhang@gmail.com
Model Selection Procedure for High Dimensional Data
Session 3: (This session will be scheduled on 12/20/2010.)
Session Organizer: Xiangrong Yin, University of Georgia, USA, xryin@stat.uga.edu
Session Title: High Dimensional Data Analysis
Session Chair: Bin Wang, University of South Alabama, USA, bwang@jaguar1.usouthal.edu
Speaker 1: Simon Sheather, Texas A & M University, USA, sheather@stat.tamu.edu,
A Dimensionality Test for Sliced Mean Variance-Covariance Inverse Regression
Speaker 2: Jeremy Wu, Census Bureau, USA, jeremy.s.wu@gmail.com,
Data Visualization with OnTheMap
Speaker 3: Xiangrong Yin, University of Georgia, USA, xryin@stat.uga.edu,
Sufficient Dimension Reduction Based on the Hellinger Integral: A General, Unifying
Approach
Session 4:
Session Organizers: Guimin Gao, Virginia Commonwealth University, USA, ggao3@vcu.edu and
Hua Jin, South China Normal University, Guangzhou, China, jinh1@163.com
Session Title: Biostatistics in China, in honor of Professor Jiqian Fang
Session Chair: Hua Jin, South China Normal University, Guangzhou, China, jinh1@163.com
Speaker 1: Ying Lu, US Veterans Affairs Cooperative Study Program and Stanford University,
USA, ylu1@stanford.edu,
Efficiency of Continuous Surrogate Marker in Clinical Trials
Speaker 2: Xiaowu Sun, Carefusion, Marlborough, MA, USA, xiaowu.sun@carefusion.com,
Assessing Risk of Familial History of Chronic Diseases: Latent Variable Modeling
Approach
Speaker 3: Yuantao Hao, Sun Yat-Sen University, China, haoyt@mail.sysu.edu.cn,
Non-linear Factor Analysis Model and its Application to Evaluating the Equivalence of
Questionnaires
Speaker 4: Chuanhua Yu, Wuhan University, China, yuchua@163.com,
Evaluation Methods of Medical Reform in China
Speaker 5: Guimin Gao, Virginia Commonwealth University, US, ggao3@vcu.edu,
A Smoothed Sequential Bonferroni Procedure for Genome-wide Association Studies
incorporating information of Hardy-Weinberg disequilibrium
Session 5:
Session Organizer: Qihua Wang, Chinese Academy of Science, China, qhwang@amss.ac.cn
Session Title: Recent Trends in Missing Data Regression Analysis
Session Chair: Qihua Wang
Speaker 1: Yi-Hau Chen, Institute of Statistical Science, Academy Sinica, Taipei,
Taiwan, yhchen@webmail.stat.sinica.edu.tw
Missing covariates with high dimensional surrogates
Speaker 2: Nian-Sheng Tang, Yunnan University, China, nstang@ynu.edu.cn,
Diagnostic Measures for Empirical Likelihood of Estimating
Equations with Missing Data
Speaker 3: Xiaobo Ding, Academy of Mathematics and Systems Science, Chinese Academy
of Science, China, waveletding@amss.ac.cn,
Mean Response Estimation in Non-response Data through Sufficient Dimension
Reduction
Speaker 4: Liugen Xue, Beijing University of Technology, China, lgxue@bjut.edu.cn,
Empirical likelihood for semiparametric regression model with missing response data
Session 6:
Session Organizer: Ying Lu, US VA Cooperative Study Program and Stanford University, USA,
ylu1@stanford.edu
Session Title: Statistical Methods in Medical Decision Making
Session Chair: Jiqian Fan, Sen-Yet Sen University, China, fangjq@mail.sysu.edu.cn
Speaker 1: Jack J. Lee, MD Anderson Cancer Institute, USA, jjlee@mdanderson.org,
Bayesian Adaptive Designs for Biomarker Guided Trials for Personalized Medicine
Speaker 2: Hua Jin, South China Normal University, China, jinhua1871@163.com,
Cost-saving Tree for Survival Endpoints
Speaker 3: Caixia Li, Sen-Yet Sen University, China, sysu_licx@hotmail.com,
Assessment of the Incremental Accuracy of Longitudinal Biomarkers in Predicting
Survival Endpoint
Discussant: Ying Lu, US Veterans Affairs Cooperative Study Program and Stanford University,
USA, ylu1@stanford.edu
Session 7:
Session Organizer: Hang Li, MSRA (Microsoft Research Asia),USA hangli@microsoft.com
Session Title: Internet and Web Search
Session Chair: Hang Li, MSRA (Microsoft Research Asia), USA hangli@microsoft.com
Speaker 1: Qiang Yang, Hong Kong University of Science and Technology, Hong Kong
qyang@cse.ust.hk
Transfer Learning for Link Prediction
Speaker 2: Tie-Yan Liu, Microsoft Research Asia, tyliu@microsoft.com
Statistical Learning Theory for Ranking
Speaker 3: Min Zhang, Tsinghua University, z-m@tsinghua.edu.cn,
User Behavior Analysis for Web Search: With and beyond the Wisdom of
Crowds
Session 8:
Session Organizer: Rong Chen, Rutgers University, rongchen@stat.rutgers.edu
Session Title: New developments in Time Series
Session Chair: Hansheng Wang, Guanghua School of Management, Peking University, China,
hansheng@gsm.pku.edu.cn
Speaker 1: Clifford Lam, London School of Economics, UK, c.lam2@lse.ac.uk,
Estimation of Large Latent Factor Models for Time Series Data
Speaker 2: Wai Keung Li, University of Hong Kong, Hong Kong, hrntlwk@hku.hk
Some Results on Time Series Models with Long Memory in the Variance
Speaker 3: Song Xi Chen, Peking University and Iowa State University, songchen@iastate.edu
Tests for High Dimensional Covariance Matrices
Session 9:
Session Organizer: Tong Zhang, Rutgers University, USA, tongz@rci.rutgers.edu
Session Title: High Dimensional Learning and Estimation
Session Chair: Tong Zhang
Speaker 1: Chih-jen Lin, National Taiwan University, Chih-Jen Lin cjlin@csie.ntu.edu.tw
Optimization methods for large-scale L1-regularized linear classification
Speaker 2: Ding-Xuan Zhou, Department of Matehmatics, City University of Hong Kong,
mazhou@cityu.edu.hk
Some Analysis of Learning with Reproducing Kernel Spaces
Speaker 3: Ping Li, Cornell University, USA, pingli@cornell.edu
Adaptive Base Class Boost (ABC-Boost) for Multi-Class Classification
Speaker 4: Tong Zhang, Rutgers University, USA, tongz@rci.rutgers.edu
Some Algorithms for Sparse Learning
Session 10:
Session Organizer: Hongkai Ji, Johns Hopkins University, USA, hji@jhsph.edu
Session Title: Statistical methods for next-generation sequencing data analysis
Session Chair: Hui Jiang, Stanford University, USA, jiangh@stanford.edu
Speaker 1: Hector Corrada Bravo, Johns Hopkins University, USA, hcorrada@gmail.com
Statistical and computational methods for the analysis of pooled, targeted,
second-generation resequencing data
Speaker 2: Xuekui Zhang, U of British Columbia, ubcxzhang@gmail.com
PICS, A Method for Profiling Genome-wide Transcription
Factor-DNA Association and Nucleosome Positions
Speaker 3: Hui Jiang, Stanford University, USA, jiangh@stanford.edu
Estimating Isoform-Specific Gene Expression Using Paired-End RNA-Seq
Speaker 4: Xuegong Zhang, Tsinghua Univesrity, China, zhangxg@tsinghua.edu.cn
Observations on the differential expression of genes from RNA-seq data
Session 11:
Session Organizer: Wei Pan, University of Minnesaota, USA, weip@biostat.umn.edu
Session Title: Network-based Statistical Analysis and Bioinformatics
Session Chair: Hongzhe Li, University of Pennsylvania, USA, hli@cceb.upenn.edu
Speaker 1: Jasmine Zhou, USC, USA, xjzhou@usc.edu,
Algorithms and Applications for Integrative Network Analysis
Speaker 2: Peng Wei, University of Texas, USA, Peng.Wei@uth.tmc.edu
Bayesian Joint Modeling of Multiple Gene Networks and Diverse Genomic Data
to Identify Target Genes of a Transcription Factor
Speaker 3: Wei Pan, University of Minnesaota, USA, weip@biostat.umn.edu
Penalized Regression with Gene Networks
Session 12:
Session Organizer: Haiyan Huang, UC Berkeley, USA, hhuang@stat.berkeley.edu
Session Title: Integrative Analysis of Various Types of Genomic Data
Session Chair: Lynn Kuo, University of Connecticut, USA, lynn@stat.uconn.edu
Speaker 1: Zhijin Wu, Brown University, USA, zwu@stat.brown.edu,
Empirical Bayes Analysis of Sequencing-based Transcriptional Profiling without
Replicates
Speaker 2: Minping Qian, Peking University, qianmp@math.pku.edu.cn
The interaction pathway annotation by integrating various genomic data
Speaker 3: Jun Liu, Harvard University, USA, jliu@stat.harvard.edu
Using Phylogenetic Relationships to Infer Gene Functional Groups
Session 13: (This session will be scheduled on 12/22/2010.)
Session Organizer: Mingyao Li, University of Pennsylvania, USA, mingyao@mail.med.upenn.edu
Session Title: Advances in Genome-wide Association Studies: Methods Development and
Applications
Session Chair: Hua Tang, Stanford University School of Medicine, USA, huatang@stanford.edu
Speaker 1: Liming Liang, Harvard University, USA, lliang@hsph.harvard.edu
Enhancing the Power of eQTL Mapping: A Catalog of 6,000 cis eQTLs in
Lymphocytes
Speaker 2: Xiaofeng Zhu, Case Western Reserve University, USA, xzhu1@darwin.case.edu
Detecting rare Genetic Variants in Complex Traits Using Resequencing Data
Speaker 3: Rui Xiao, University of Pennsylvania School of Medicine, USA,
rxiao@mail.med.upenn.edu
Allele-Specific Expression to Detect the /Cis/-acting Regulatory SNPs
Speaker 4: Yun Li, University of North Carolina at Chapel Hill, USA, yunli@med.unc.edu
Efficient Design for Massively Parallel Sequencing based Genome-wide
Association Studies
Session 14:
Session Organizer: Lixing Zhu, Hong Kong Baptist University, Hong Kong,lzhu@hkbu.edu.hk
Session Title: Recent Developments in Dimension Reduction
Session Chair: Lixing Zhu, Hong Kong Baptist University, lzhu@hkbu.edu.hk
Speaker 1: Hannes Leeb, University of Vienna, Austria, hannes.leeb@univie.ac.at
Shrinkage Estimation of a Univariate Normal Mean
Speaker 2: Jian Huang, University of Iowa, USA, jian-huang@uiowa.edu
The Sparse Laplacian Shrinkage Estimator for High-Dimensional Regression
Speaker 3: Yingcun Xia, National University of Singapore, Singapore, staxyc@nus.edu.sg
Freedom Reduced Shrinkage Regression
Speaker 4: Runze Li, Penn State University, USA, rli@stat.psu.edu
New Efficient Estimation and Variable Selection Methods for Semiparametric
Varying-coefficient Partially Linear Models
Session 15: (This session will be scheduled on 12/20/2010 or 12/21/2010.)
Session Organizer: Wenguang Sun, North Carolina State University, USA, sun@stat.ncsu.edu
Session Title: Recent Advances in Large-Scale Multiple Testing
Session Chair: Sijian Wang, University of Wisconsin, USA, wangs@stat.wisc.edu
Speaker 1: Harrison Zhou, Yale University, USA, huibin.zhou@yale.edu
False Discovery Rate Control with Groups
Speaker 2: Wenguang Sun, North Carolina State University, USA, sun@stat.ncsu.edu,
Optimal Screening for Sparse Signals
Speaker 3: Hongyuan Cao, University of Chicago, USA, hcao@health.bsd.uchicago.edu
On Multiple Testing and the Monotone Likelihood Ratio Condition
Session 16:
Session Organizers: Tom (Siu-Tong) Au and Winnie Duan, AT&T Lab,
Research, USA sau@research.att.com
Session Title: Applied Data Mining
Session Chair: Tom (Siu-Tong) Au, AT&T Lab, Research, USA, sau@research.att.com
Speaker 1: Shu Ngai Yeung and Tom Au, AT&T Lab, Research, USA,
shu-ngai.c.yeung@att.com,
Automatic Forecasting via Data Mining Large Time Series Database
Speaker 2: Donghui Zhang, Sanofi Aventis, USA, donghui.zhang@sanofi-aventis.com,
Data Mining Techniques for Cell Image Analysis in Drug Discovery
Speaker 3: Jun Li, University of California, Riverside, USA, jun.li@ucr.edu,
DD-Classifier: Nonparametric Classification Procedures Based on DD-plot
Speaker 4: Shaoli Wang, School of Statistics and Management Science,
Shanghai University of Finance and Economics, China,
shufe.shaoli@gmail.com,
Laplace Error Penalty-based Variable Selection and its Application in GWAS
Session 17:
Session Organizer: Ji Meng Loh, AT&T-Labs, USA, loh@research.att.com
Session Title: Modern Spatial Statistics
Session Chair: Ji Meng Loh, AT&T-Labs, USA, loh@research.att.com
Speaker 1: Ramus Waagepetersen, Aalborg University, UK, rw@math.aau.dk
Decomposition of Variance for Spatial Cox Processes
Speaker 2: Chun Yip Yau, The Chinese University of Hong Kong, Hong Kong
cyyau@sta.cuhk.edu.hk
On a Generalization of Neyman-Scott Process
Speaker 3: Yanbing Zheng, University of Kentucky, USA, yanbing.zheng@uky.edu
Nonparametric Bayesian Inference for the Spectral Density Function of a Random
Field
Session 18: (This session will be scheduled on Dec. 20, 2010)
Session Organizer: Regina Liu, Rutgers University, USA, rliu@stat.rutgers.edu
Session Title: Statistical Methods for Complex Data
Session Chair: Regina Liu, Rutgers University, USA, rliu@stat.rutgers.edu
Speaker 1: Samuel Kou, Harvard University, USA, kou@stat.harvard.edu
Multi-Resolution Bayesian Inference of Stochastic Models from Partially Observed
Data
Speaker 2: Ying Hung, Rutgers University, USA, yhung@stat.rutgers.edu
Analysis of Computer Experiments with Functional Response
Speaker 3: Juan A. Cuesta-Albertos, Universidad de Cantabria, Spain, cuestaj@unican.es
Similarity of Distributions through Trimming and Distance
Speaker 4: Fugee Tsung, Hong Kong University of Science and Technology, Hong
Kong, season@ust.hk
Statistical Quality Techniques applied to Service Industry
Session 19:
Session Organizer: Hua Tang, Stanford University, USA, huatang@stanford.edu
Session Title: Significance tests and model selection in genome-wide association studies
Session Chair: Mingyao Li, University of Pennsylvania, USA, mingyao@mail.med.upenn.edu
Speaker 1: I-Ping Tu, Academic Sinica in Taiwan, iping@stat.sinica.edu.tw
P-value Calculations for Genome-wide Scan Statistics
Speaker 2: Li Hsu, Fred Hutchinson Cancer Research Center, USA, lih@fhcrc.org
Gene Set Analysis of GWAS Data Using a Regularized Approach
Speaker 3: Heping Zhang, Yale University, USA, heping.zhang@yale.edu
Covariate Adjusted Association Tests and Power Calculations Based on the
Generalized Kendall’s Tau
Session 20:
Session Organizer: Charles Kooperberg, Fred Hutchinson Cancer Research Center, USA,
clk@fhcrc.org
Session Title: Interactions and prediction in Genomewide Association Studies
Session Chair: Li Hsu, Fred Hutchinson Cancer Research Center, lih@fhcrc.org
Speaker 1: Sebastian Zoellner, University of Michigan, USA, szoellne@umich.edu,
Models and data for rare risk variants.
Speaker 2: Minghui Wang, University of Science and Technology of China, China,
mhwang@ustc.edu.cn,
Maximal Conditional Chi-Square Importance in Random Forests
Speaker 3: Charles Kooperberg, Fred Hutchinson Cancer Research Center, USA, clk@fhcrc.org,
Prediction Models in Genome-wide Association Studies
Speaker 4: Bhramar Mukherjee, University of Michigan, USA, bhramar@umich.edu,
Interaction Models for Longitudinal Studies with Large Scale Genetic Data
Session 21: (This session will be scheduled on 12/22/2010.)
Session Organizer: Pei Wang, Fred Hutchinson Cancer Research Center, USA, pwang@fhcrc.org
Session Title: Proteomics
Session Chair:Tim Randolph, Fred Hutchinson Cancer Research Center, USA, trandolp@fhcrc.org
Speaker 1: Xihong Lin, Harvard University, USA, xlin@hsph.harvard.edu
Increased Power for the Analysis of Label-Free LCMS/MS Proteomic Data by
Combining Spectral Counts and Peptide Peak Attributes
Speaker 2: Haixu Tang, Indiana University, USA, hatang@indiana.edu
Protein Identification and Quantification in Shotgun Proteomics: A Probabilistic
Approach
Speaker 3: Pei Wang, Fred Hutchinson Cancer Research Center, USA, pwang@fhcrc.org
A Regularized Hotelling's T2 Test for Pathway Analysis in Proteomics Studies
Session 22:
Session Organizer: Jaroslaw Harezlak, Indiana University School of Medicine, USA,
harezlak@iupui.edu
Session Title: Longitudinal/Functional Data Analysis and Clinical Trials
Session Chair: Jaroslaw Harezlak, harezlak@iupui.edu, Indiana University School of Medicine
Speaker 1: Wanzhu Tu, Indiana University School of Medicine, USA, wtu1@iupui.edu,
A Joint Bivariate Regression Spline Model for Longitudinally Measured Data
Speaker 2: Dave Campbell, Simon Fraser University, Canada, dac5@sfu.ca
The Role of Functional Data Analysis in Bayesian Model Selection
Speaker 3: Lu Wang, University of Michigan, USA, luwang@umich.edu
Inverse Probability Weighted Kernel Estimators for Longitudinal Data with Dropout
Speaker 4: Jaroslaw Harezlak, Indiana University, USA, harezlak@iupui.edu
Functional Data Analytic Approaches to Modeling Mass Spectrometry Data
Session 23:(This session will be scheduled on 12/22/2010.)
Session Organizer: Keying Ye, University of Texas at San Antonio, USA, Keying.Ye@utsa.edu
Session Title: Bayesian Methods with Applications in Environmental and Ecological Sciences
Session Chair: Chong (Zhuoqiong) He, University of Missouri, USA, hezh@missouri.edu
Speaker 1: Keying Ye, of Texas at San Antonio, USA, Keying.Ye@utsa.edu,
Normalized Power Prior Bayesian Analysis with Presence of
Nuisance Parameters with Applications in Ecology
Speaker 2: Dipak Dey, University of Connecticut, USA, dipak.dey@uconn.edu,
Non-Gaussian Hierarchical Generalized Linear Geostatistical Model Selection
Speaker 3: Eric Smith, Virginia Tech, USA, epsmith@vt.edu
Model Selection and Segmentation over Large Spatial Regions: Modeling Brook Trout
Condition in Eastern United States
Session 24:
Session Organizer: Paul Lewis, University of Connecticut, USA, paul.lewis@uconn.edu
Session Title: Recent Development in Phylogeny and Genomic Studies
Session Chair: Ming-Hui Chen, University of Connecticut, USA, mhchen@stat.uconn.edu
Speaker 1: Lynn Kuo, University of Connecticut, USA, lynn.stat.uconn.edu,
A nonparametric Bayesian method for modeling across-site rate variation
Speaker 2: Paul Lewis, University of Connecticut, USA, paul.lewis@uconn.edu,
Marginal Likelihood Estimation Using Steppingstone Sampling and its Application to
Partitioned Bayesian Phylogenetic Analyses
Speaker 3: Marc A. Suchard, David Geffen School of Medicine at UCLA, USA,
msuchard@ucla.edu
Massively Parallel Statistical Phylogenetics: No Approximations Necessary
Session 25:(This session will be scheduled on December 22, 2010.)
Session Organizer: Chong (Zhuoqiong) He, University of Missouri, USA, hezh@missouri.edu
Session Title: Bayesian Spatial Modeling with Applications in Wildlife and Conservation Research
Session Chair: Dongchu Sun, University of Missouri, USA, sund@missouri.edu
Speaker 1: Zhu Jun, University of Wisconsin-Madison, USA, jzhu@stat.wisc.edu
Spatial Multinomial Models and Bayesian Inference for the Analysis of
Land-cover and Land-use Data
Speaker 2: Xiaoqian Sun, Clemson University, USA, xsun@clemson.edu
Bayesian Spatial Models with Repeated Measurements
Speaker 3:Xun Jiang, University of Connecticut, USA, tonyjiangxun@gmail.com
Modeling Species Co-occurrence Using Spatial Hierarchical Model
Session 26:(This session will be scheduled on 12/20/2010.)
Session Organizer: Ming-Hui Chen, University of Connecticut, USA, mhchen@stat.uconn.edu
Session Title: Bayesian Inference and Application
Session Chair: Dipak K. Dey, University of Connecticut, USA, dipak.dey@uconn.edu
Speaker 1:Dongchu Sun, University of Missouri, USA, sund@missouri.edu,
Bayesian Analysis of Variance
Speaker 2: Malay Ghosh, University of Florida, USA, ghoshm@stat.ufl.edu,
Bayesian Empirical Likelihood for Small Area Estimation
Speaker 3: Taps Maiti, Michigan State University, USA, maiti@stt.msu.edu,
Default Bayesian Analysis for Multivariate Generalized CAR Models
Session 27:
Session Organizer: Yuan Ji, M. D. Anderson Cancer Center, USA,yuanji@mdanderson.org
Session Title: Bayesian Models for Bioinformatics Data
Session Chair: Donatello Telesca, Department of Biostatistics, UCLA,
USA,donatello.telesca@gmail.com
Speaker 1: Veera Baladandayuthapani, The University of Texas M. D. Anderson Cancer Center,
USA, Veera@mdanderson.org
Bayesian Functional Methods for Copy Number Data
Speaker 2: Yuan Ji, The University of Texas M. D. Anderson Cancer Center, USA,
yuanji@mdanderson.org
Bayesian Models for the Integration of mRNA expression and DNA Copy Number
Data
Speaker 3: Bo Hu, The Cleveland Clinic Foundation, USA, hub@ccf.org,
Differential Analysis to Identify Genome-wide DNA Methylation Markers Using
Enrichment-based Sequencing Data
Session 28:
Session Organizer: Dongchu Sun, University of Missouri, USA, sund@missouri.edu
Session Title: Bayesian Theory and Method
Session Chair: Dongchu Sun, University of Missouri, USA, sund@missouri.edu
Speaker 1: Yuguo Chen, University of Illinois at Urbana-Champaign, USA, yuguo@illinois.edu,
Bayesian Quantile Regression
Speaker 2: Chong (Zhuoqiong) He, University of Missouri, USA, hezh@missouri.edu,
Bayesian Analysis for the Multinomial Data under Noninformative Priors
Speaker 3: Ming-Hui Chen, University of Connecticut, USA, mhchen@stat.uconn.edu,
Recent Development in Bayesian Analysis of Survival Data
Session 29: (This session will be scheduled on 12/21/2010.)
Session Organizer: David Draper, University of California at Santa Cruz, USA,
draper@soe.ucsc.edu
Session Title: Bayesian Methods with Applications
Session Chair: Marina Vannucci, Rice University, USA, marina@rice.edu
Speaker 1: David Draper, David Draper, University of California at Santa Cruz, USA,
draper@soe.ucsc.edu,
Bayesian Model and Utility Specification: Recent Developments
Speaker 2: Donatello Telesca, University of California at Los Anges, USA,
donatello.telesca@gmail.com
Modeling Dependent Protein Expression
Speaker 3: Peter Mueller, MD Anderson Cancer Center, USA, pmueller@mdanderson.org,
A Dependent Polya Tree Model: Bayesian Nonparametric Survival Regression
Session 30: (This session will be scheduled on either 12/22 or 12/21/2010)
Session Organizer: Fan Li, Duke University, USA, fli@stat.duke.edu
Session Title: Recent Advances in Bayesian Modeling for High-Dimensional Data (IBSA co-
sponsored session)
Session Chair: Fan Li, Duke University, USA, fli@stat.duke.edu
Speaker 1: Marina Vannucci, Rice University, USA, marina@rice.edu
Bayesian Models for Variable Selection that Incorporate Biological Information
Speaker 2: Tingting Zhang, University of Virginia, USA, tz3b@virginia.edu
Nonparametric Hierarchical Bayesian Analysis of Binomial Data Via Bernstein
Polynomial Priors
Speaker 3: Stefano Monni, Cornell University, USA, stm2013@med.cornell.edu
Correlation and Bayesian Variable Selection
Speaker 4: Fan Li, Duke University, USA, fli@stat.duke.edu
Bayesian Regularized Regression via Graph Laplacian
Session 31:
Session Organizer: Mei-Ling Ting Lee, University of Maryland, USA, MLTLEE@UMD.EDU
Session Title: Recent Advances in Lifetime Data Analysis (LIDA Special Invited Session)
Session Chair: Jianguo Sun, University of Missouri, USA, SunJ@missouri.edu.
Speaker 1: Jason P. Fine, University of North Carolina, Chapel Hill, USA, jfine@bios.unc.edu,
Analysis of Recurrent Episodes Data: the Length-Frequency Tradeoff
Speaker 2: Tingting Zhang, University of Virginia, USA, tz3b@virginia.edu
Nonparametric Hierarchical Bayesian Analysis of Binomial Data Via Bernstein
Polynomial Priors
.
Speaker 3: X. Joan Hu, Simon Fraser University, British Columbia, Canada, joanh@cs.sfu.ca
Advancing Statistical Methodology for Warranty Claims
Speaker 4: Ronghui Xu, University of California, San Diego, USA, rxu@math.ucsd.edu
Analysis of Spontaneous Abortion in Observational Studies
Session 32: (This session will be scheduled on 12/20/2010.)
Session Organizers: Brent Burger, Cytel, Inc., USA, Brent.Burger@cytel.com,
Yoko Tanaka, Eli Lilly, USA, tanaka_yoko_x1@lilly.com,
Bruce Binkowitz, Merck, USA, bruce_binkowitz@merck.com,
Session Title: Multi-Regional Clinical Trials: Regulatory Perspectives/Case Studies
Session Chair: Bruce Binkowitz, Merck, USA, bruce_binkowitz@merck.com
Speaker 1: Yuki Ando, PMDA, Japan, ando-yuki@pmda.go.jp
Evaluation of Multi-Regional Clinical Trials: Statistical and Other Issues
Speaker 2: Mey Wang, Center for Drug Evaluation, Taiwan, mwang@cde.org.tw
A Bayesian Approach to Evaluating Regional Treatment Effect in a Multiregional Trial
Speaker 3: Yi Tsong, Center for Drug Evaluation, U.S. FDA, Yi.Tsong@fda.hhs.gov
Evaluation of Regional Treatment Effect in a Multi-Regional Clinical Trial
Speaker 4: Ning Li, Sanofi-Aventis, China, ericylee1@gmail.com
Practical Considerations Using MRCT Data in Drug Development
Session 33: (This session will be scheduled on 12/20/2010.)
Session Organizers: Yoko Tanaka, Eli Lilly, USA, tanaka_yoko_x1@lilly.com,
Bruce Binkowitz, Merck, USA, bruce_binkowitz@merck.com
Brent Burger, Cytel, Inc., USA, brent.burger@cytel.com
Session Title: Multi-Regional Clinical Trials: Statistical/Operational Perspectives/Case Studies
Session Chair: Brent Burger, Cytel, Inc., USA, brent.burger@cytel.com
Speaker 1: Frank Shen, Roche Global Products Development, China, frank.shen@roche.com
A Bridge Too Far? Challenges and Opportunities in Linking China into Simultaneous
Global Development (SGD) via Multi-Regional Clinical Trials (MRCTs)
Speaker 2: William Wang, Merck Sharp & Dohme Ltd., China, william_wang@merck.com
Decoding the Regional Differences in Multi-Regional Clinical Development
Speaker 3: Jayanti Gupta, Semler Research Centre Pvt Ltd, India,
jayantigupta@semlerresearch.com
Clinical Trials in India - The Evolving Scenario
Speaker 4: Peng-Liang Zhao, Sanofi-Aventis, USA, Peng-Liang.Zhao@sanofi-aventis.com,
Considerations for Multi-Regional Clinical Trial Designs, Analyses and Inference
Session 34:
Session Organizer: Yanqing Sun, UNC-Charlotte, yasun@uncc.edu
Session Title: New Developments in Statistical Modeling of Survival Data
Session Chair: TBD
Speaker 1: Ian McKeague, Columbia University, USA, im2131@columbia.edu
Power under Local Alternatives for Generalized Estimating Equations
Speaker 2: Qiming Liao, GlaxoSmithKline Pharmaceutical, USA, qiming.m.liao@gsk.com
Stopping for Futility on Progression-free Survival in Clinical Trials
Speaker 3: Yichuan Zhao, Georgia State University, USA, matyiz@langate.gsu.edu
Empirical Likelihood Intervals for the Difference of Two Quantile Functions with
Right Censoring
Speaker 4: Yanqing Sun, The University of North Carolina at Charlotte, USA, yasun@uncc.edu
Quantile Regression for Competing Risks Data with Missing Cause of Failure
Session 35:
Session Organizers: K.K. Gordon Lan, Johnson & Johnson, USA, GLan@its.jnj.com
Xihong Lin, Harvard School of Public Health, USA, xlin@hsph.harvard.edu
Session Title: ICSA Journal: Statistics in Biosciences Special Invited Session
Session Chair: K.K. Gordon Lan, Johnson & Johnson, USA, GLan@its.jnj.com
Speaker 1: Hongzhe Li, University of Pennsylvania, USA, hli@cceb.upenn.edu,
Hierarchical Models for Isoform Differential Expression Analysis from the RNA-seq
Data
Speaker 2: Jane-Ling Wang, University of California at Davis, USA, wang@wald.ucdavis.edu,
Semiparametric Regression Analysis for Doubly-censored Clustered Data
Speaker 3: Chinfu Hsiao, NHRI-Taiwan, Chinfu@nhri.org.tw,
Design and Evaluation of Multi-regional Trials with Heterogeneous Treatment Effect
across Regions
Session 36:
Session Organizer: Jeff Wu, Professor, Georgia Institute of Technology, USA,
jeffwu@isye.gatech.edu
Session Title: Design and analysis of computer experiments
Session Chair: Xinwei Deng, University of Wisconsin-Madison, USA, xdeng@stat.wisc.edu
Speaker 1: William J. Welch, University of British Columbia, CA, will@stat.ubc.ca
Analyzing Computer Experiments: What Matters,What Doesn't
Speaker 2: Chien-Yu Peng, Academia Sinica, Taipei, chienyu@stat.sinica.edu.tw
Regularized Kriging
Speaker 3: C. Devon Lin, Queen's University, Canada, cdlin@mast.queensu.ca
Designs for Data Pooling
Session 37:
Session Organizers: Jason G. Su, University of California, Berkeley, USA, jasonsu@berkeley.edu
Hwa-Lung Yu, National Taiwan University, Taipei, Taiwan, hlyu@ntu.edu.tw
Session Title: Modeling Spatial/Temporal Variations of Ambient Pollutant Concentrations
Session Chair: Jason G. Su, University of California, Berkeley, USA
Speaker 1: Chu-Chi Chen, National Health Research Institute, Taipei, Taiwan, ccchen@nhri.org.tw
A Two-Stage Spatiotemporal Model Incorporating Land Use Regression for
Predicting Fine Particulate Matter Concentrations in the Taipei Metropolitan Area
Speaker 2: Hwa-Lung Yu, National Taiwan University, Taipei, Taiwan
Retrospective Prediction of Intraurban Spatiotemporal Distribution of PM2.5 in Taipei
Speaker 3: Jason G. Su, University of California, Berkeley, USA
Modeling long-term average traffic related pollutant concentrations at Los Angeles
Megalopolis for Children's asthma study
Session 38:
Session Organizer: Florentina Bunea, Florida State University, USA, flori@stat.fsu.edu
Session Title: Recent Results in Theoretical Machine Learning
Session Chair: Yuguo Chen, University of Illinois at Urbana-Champaign, USA,
yuguo@illinois.edu
Speaker 1: Ching-Kang Ing, National Taiwan University, Taiwan, cking@stat.sinica.edu.tw
On the Optimal Convergence Rate of Orthogonal Greedy
Algorithms in High-Dimensional Sparse Regression Models
Speaker 2: Gerard Biau, Universite Pierre et Marie Curie, Paris, France, gerard.biau@upmc.fr,
Analysis of a Random Forests Model
Speaker 3: Ming Yuan, Georgia Institute of Technology, USA, myuan at isye.gatech.edu
Classification Methods with Reject Option Based on Convex Risk Minimization
Speaker 4: Yuhong Yang, University of Minnesota, USA, yyang@stat.umn.edu
Distinct Impacts of Model List Complexity on Model
Identification and Regression Estimation
Session 39:
Session Organizer: Ji Zhu, University of Michigan, USA, jizhu@umich.edu
Session Title: High Dimensional Data Analysis and Machine Learning
Session Chair: Junhui Wang, University of Illinois at Chicago, USA, Junhui@uic.edu
Speaker 1: Chenlei Leng, National University of Singapore, Singapore, stalc@nus.edu.sg
Penalized Empirical Likelihood and Growing Dimensional General Estimating equations
Speaker 2: Annie Qu, University of Illinois at Urbana-Champaign, USA, anniequ@illinois.edu,
Variable Selection in High Dimensional Varying Coefficient Models
Speaker 3: Peter Song, University of Michigan, USA, pxsong@umich.edu
Composite Likelihood Bayesian Information Criterion for Model
Selection in High Dimensional Correlated Data
Speaker 4: Xing Wang, Renmin University, China, wangxingscy@gmail.com
Structure Clustering for Time Series Data with Case Studies
Session 40: (This session will be scheduled on 12/20/2010.)
Session Organizer: Alex d'Aspremont, Princeton University, USA, aspremon@Princeton.EDU
Session Title: Machine Learning and Optimization
Session Chair: Marco Cuturi, Princeton University, USA, mcuturi@princeton.edu
Speaker 1: Marco Cuturi, Princeton University, USA, mcuturi@princeton.edu,
Semidefinite Relaxations of Stationarity Criterions for Stochastic Processes
Speaker 2: Arnaud Doucet, University of British Columbia, Canada, arnaud@cs.ubc.ca,
Forward Smoothing using Sequential Monte Carlo
Speaker 3: Ronny Luss, Tel Aviv University, Israel, ronnyluss@gmail.com
Isotonic Recursive Partitioning
Session 41: (This session will be scheduled on 12/21/2010.)
Session Organizer: Peter Xuekun Song, University of Michigan, USA, pxsong@umich.edu
Session Title: New Developments in Mixed Effects Models
Session Chair: Gary G. L. Tian, University of Hong Kong, Hong Kong, gltian@hku.hk
Speaker 1: Jiming Jiang, University of California at Davis, USA, jiang@wald.ucdavis.edu
Fence Method for Nonparametric Mixed Model Selection
Speaker 2: Huazhen Lin, Southwestern University of Finance and Economics, China,
huazhenlin@hotmail.com
Semiparametric Transition Models with Unknown Link and Variance Functions
Speaker 3: Bin Nan, University of Michigan, USA, bnan@umich.edu
Longitudinal Measures with Event Time as a Covariate
Speaker 4: Xin-Yuan Song, Chinese University of Hong Kong, Hong Kong,
xysong@sta.cuhk.edu.hk,
Semiparametric Transformation Models with Bayesian P-splines
Session 42:
Session Organizer: Yoav Benjamini, Tel Aviv University, Israel, ybenja@post.tau.ac.il
Session Title: Recent Developments on False Discovery Rates
Session Chair: Harrison Zhou, Yale University, USA, huibin.zhou@yale.edu
Speaker 1: Helmut Finner, Deutsches Diabetes-Zentrum an der Heinrich-Heine-Universität
Düsseldorf Leibniz-Zentrum für Diabetes-Forschung Institut für Biometrie und
Epidemiologie, Demark, finner@ddz.uni-duesseldorf.de
Simultaneous Control of FDR and Expected Number of False Rejections
Speaker 2: Yanting Li, Shanghai Jiao Tong University, China, ytli@sjtu.edu.cn
False Discovery Rate-Adjusted Charting Schemes for Multistage Process Monitoring
and Fault Identification
Speaker 3: Yoav Benjamini, Tel Aviv University, Israel, ybenja@post.tau.ac.il
Hierarchical Testing of Subsets of Hypotheses
Session 43:
Session Organizer: Peter Hall, Editor of Statistica Sinica, University of Melbourne, Austria,
halpstat@ms.unimelb.edu.au
Session Title: Statistica Sinica Special Invited Session
Session Chair: Jane-Ling Wang, University of California at Davis, USA, wang@wald.ucdavis.edu
Speaker 1: Frederic Ferraty, Toulouse, France, ferraty@cict.fr
Bootstrap and Inference in Nonparametric Regression with Functional Data
Speaker 2: Hans Mueller, University of California at Davis, USA, mueller@wald.ucdavis.edu,
Functional Local Regression
Speaker 3: Tailen Hsing, University of Michigan, USA, thsing@umich.edu
Uniform Convergence Rates for Nonparametric Regression and Principal
Component Analysis in Functional/Longitudinal Data
Speaker 4: Naisyin Wang, University of Michigan, USA, nwangstat@gmail.com,
Functional Linear Model with Zero-value Coefficient Function at Sub-regions
Session 44:(This session will be scheduled on 12/20 or 12/21, 2010.)
Session Organizer: Peter Z. G. Qian, University of Wisconsin-Madison, USA,
peterq@stat.wisc.edu
Session Title: Recent Advances in Design of Experiments
Session Chair: C. Devon Lin, Queen's University, Canada, cdlin@mast.queensu.ca
Speaker 1: Ching-Shui Cheng, University of California, Berkeley, USA, cheng@stat.berkeley.edu
Multistratum Fractional Factorial Designs
Speaker 2: Thomas J. Santner, Professor, The Ohio State University, USA, tjs@stat.osu.edu
Using Multiple Computer Models and Multiple Data Sources to Infer Calibration
Parameters and Improve Prediction
Speaker 3: Xinwei Deng, University of Wisconsin-Madison, USA, xdeng@stat.wisc.edu
Designs for the Lasso
Session 45:
Session Organizer: Yijun Zuo, Michigan State University, USA,
zuo@msu.edu, yijun.zuo@gmail.com
Session Title: Data Depth and Applications
Session Chair: Xuming He, Department of Statistics, University of Illinois, USA,
Speaker 1: Matio Romanazzi, Ca' Foscari University of Venice, Italy, romanaz@unive.it
Local Depth
Speaker 2: Shojaeddin Chenouri, University of Waterloo, Canada, schenouri@math.uwaterloo.ca
A Spatial Depth based Dimension Reduction Method
Speaker 3: Sara López-Pintado, Columbia University, USA, sl2929@columbia.edu,
Depth-based Analysis of Sparse Functional Data
Speaker 4: Yijun Zuo, Michigan State University, USA, zuo@msu.edu
Data Depth Based Inference Procedures
Session 46:
Session Organizer: Nan Chen, The Chinese University of Hong Kong, Hong Kong
nchen@se.cuhk.edu.hk
Session Title: Financial Engineering: modeling and simulation
Session Chair: Nan Chen, The Chinese University of Hong Kong
Speaker 1: Zhen Liu, Missouri University of Science and Technology, USA, zliu [at] mst.edu,
Energy Portfolio Investment with Entry Decisions
Speaker 2: Xuedong He, Columbia University, USA, xh2140@columbia.edu,
Portfolio Selection with Law-invariant Coherent Risk Measures
Speaker 3: Nan Chen, The Chinese University of Hong Kong, Hong Kong,
Monte Carlo Methods on American-style Option Sensitivity Analysis
Speaker 4: Guangwu Liu, City University of Hong Kong, Hong Kong, msgw.liu@cityu.edu.hk,
Importance Sampling for Risk Contributions of Credit Portfolios
Session 47:
Session Organizer: Jia-An Yan, Chinese Academy of Sciences, China, jayan@amt.ac.cn
Session Title: Mean-variance Portfolio Selection and Mean-variance Hedging
Session Chair: Jia-An Yan, Chinese Academy of Sciences, China, jayan@amt.ac.cn
Speaker 1: Zhongfei Li, Sun Yat-sen University, China, lnslzf@mail.sysu.edu.cn
Continuous-time Mean-variance Model with only Risky Assets
Speaker 2: Dewen Xiong, Shanghai Jiaotong University, China, xiongdewen@sjtu.edu.cn
The Compatible Bond-stock Market with Jumps
Speaker 3: Jia-An Yan, Chinese Academy of Sciences, China, jayan@amt.ac.cn
A New Look at Markowitz’s Mean-variance Portfolio Selection
Speaker 4: Yong Zhou, Chinese Academy of Sciences & Shanghai University of Finance and
Economics, China, yzhou@amss.ac.cn,
Varying-Coefficient Multidimensional Cluster Data Regression Models: An Example of
STARS Database of the World Bank
Session 48:
Session Organizer: Ning Cai, Hong Kong University of Science and Technology, Hong Kong,
ningcai@ust.hk
Session Title: Financial Engineering and Financial Statistics
Session Chair: Ning Cai, Hong Kong University of Science and Technology, Hong Kong,
ningcai@ust.hk
Speaker 1: Bing-Yi Jing, Hong Kong University of Science and Technology, Hong Kong,
majing@ust.hk
On Integrated Volatility with the Presence of Jumps and Microstructure Noise
Speaker 2: Ying Chen, National University of Singapore, Singapore, stacheny@nus.edu.sg,
Modeling Realized Covariance in a Localized Framework
Speaker 3: Phillip Yam, The Hong Kong Polytechnic University, Hong Kong,
phillip.yam@gmail.com,
Optimal Reinsurance under Law-Invariant Convex Risk Measure
Speaker 4: Lancelot F. James, The Hong Kong University of Science and Technology,
lancelot@ust.hk
Gamma Leveraged BNS-OU Price Processes
Session 49:
(This session will be scheduled either on 12/20/2010 or 12/21/2010.)
Session Organizer: Wei Shen, Eli Lilly and Company, USA, shen@lilly.com
Session Title: Invited Panel: The Future of Academia-Industry Collaboration
Session Chair: Wei Shen, Eli Lilly and Company, USA, shen@lilly.com
Panel Members:
Xiao-Li Meng, Harvard University, USA, meng@stat.harvard.edu
Ying Lu, Stanford University, USA, ylu1@stanford.edu
Frank Shen, Roche, China, frank.shen@roche.com
Dennis Lin, Penn State University, USA, dkl5@psu.edu
Bin Yu, University of California at Berkeley, USA, binyu@stat.berkeley.edu
Jeremy Wu, Census Bureau, USA, jeremy.s.wu@census.gov
Pengliang Zhao, Sanofi-Aventis, USA, Peng-Liang.Zhao@sanofi-aventis.com
Session 50:
Session Organizer: Jun Xie, Purdue University, USA, junxie@stat.purdue.edu
Session Title: Case Studies from Academia-Industry Collaboration
Session Chair: Jun Xie, Purdue University, USA, junxie@stat.purdue.edu
Speaker 1: Wei Shen, Eli Lilly and Company, USA, shen@lilly.com
Application of Bayesian Joint Modeling of Time-to-Event
and Patient-Reported Outcomes in an Oncology Clinical Trial
Speaker 2: Daowen Zhang, North Carolina State University, USA, dzhang2@stat.ncsu.edu,
Analysis of a Binary Composite Endpoint with Missing Data in Components
Speaker 3: Henry Lynn, Fudan University, China, hslynn@shmu.edu.cn
Training the Next Generation of Industry-ready Biostatisticians in China
Speaker 4: Yan (Grace) Li, Pfizer Inc. Shanghai, China, Yan.Li9@pfizer.com,
Quantitative Challenges Facing the Alzheimer's Disease Clinical Studies
Session 51:
Session Organizer: Bin Yu, University of California at Berkley, USA, binyu@stat.berkeley.edu
Session Title: Invited Panel for New Researchers
Session Chair: Bin Yu, University of California at Berkley, USA, binyu@stat.berkeley.edu
Panel Members:
Peter Guttorp, Department of Statistics, University of Washington and Norwegian
Computing
Chao Anges Hsiung, Institute of Population Health Sciences, National Health Research
Institutes, Taiwan
Hans R. Künsch, ETH Zurich, Department of Mathematics, Seminar für Statistik
Xuming He, Department of Statistics, University of Illinois
Jun Liu, Department of Statistics, Harvard University
Zhi-Ming Ma, Chinese Academy of Sciences, Beijing, China
Shige Peng, School of Mathematics, Qilu Institute of Finance, Shandong University
Qihua Wang, Academy of Mathematics and Systems Science, Chinese Academy of
Sciences
Mike West, Department of Statistical Science, Duke University
Session 52:
Session Organizer: Weng Kee Wong, University of California at Los Angeles, USA,
wkwong@ucla.edu
Session Title: Optimum Experimental Deisgns
Session Chair: Chongqi Zhang, Guangzhou University, China, chongqi@gzhu.edu.cn
Speaker 1: Fang Kai-Tai, BNU-HKBU United International College, China, ktfang@uic.edu,
Construction of Uniform Designs with a Large Size
Speaker 2: Ralf-Dieter Hilgers, Institute of Medical Statistics, RWTH Aachen, Germany,
rhilgers@ukaachen.de,
Design Efficiency for Component Amount Models Homogeneous of Degree One
Speaker 3: Mong Na Huang, National Sun Yat-Sen University, Kaoshiung, Taiwan,
lomn@math.nsysu.edu.tw,
Exact D-optimal Designs for Linear Log Contrast Models
Speaker 4: Weng Kee Wong, University of California at Los Angeles, USA,
wkwong@ucla.edu,
Optimal Design Strategies for Detecting Hormesis
Session 53:
Session Organizer: Philip E. Cheng, Institute of Statistical Science, Academia Sinica,
Taiwan, pcheng@stat.sinica.edu.tw
Session Title: Model Selection with Correlated Data
Session Chair: Zhigen Zhao, Temple University, USA, zhaozhg@temple.edu
Speaker 1: Li Zhe, People's University of China, China, lizhewenbei@163.com,
The Secret of Current Rising Process of Crude Death Rate in China
--Based on the Factor Decomposition Model of Gender Differences
Speaker 2: Jianhui Ning, Huazhong Normal University, China, jhning@mail.ccnu.edu.cn,
An Information Approach to Evaluating Log-linear and Logistic Models
Speaker 3: Philip E. Cheng, Institute of Statistical Science, Academia
Sinica, Taiwan, pcheng@stat.sinica.edu.tw
Another Look at Log-linear Modeling using Data Information
Session 54:
Session Organizer: Zhigen Zhao, Temple University, USA, zhaozhg@temple.edu
Session Title: Statistical Method and Theory for High-dimensional Data
Session Chair: Wenguang Sun, North Carolina State University, USA, wenguang_sun@ncsu.edu
Speaker 1: Sijian Wang, University of Wisconsin, Madison, USA, wangs@stat.wisc.edu,
Regularized REML for Estimation and Selection of Fixed and Random
Effects in Linear Mixed-Effects Models
Speaker 2: Peng Liu, Iowa State University, USA, pliu@iastate.edu,
AWeighted Average Likelihood Ratio Test with Application
to RNAseq Data
Speaker 3: Xi Luo, University of Pennsylvania, USA, xiluo@wharton.upenn.edu,
A Constrained L1 Minimization Approach to Sparse Precision
Matrix Estimation
Speaker 4: Zhigen Zhao, Temple University, USA, zhaozhg@temple.edu,
Empirical Bayes Confidence Intervals for Selected Parameters
for a Large Number of Normal Populations with Unequal but
Estimable Means and Variances
Session 55:(This session will be scheduled on 12/20 or 12/21, 2010.)
Session Organizer: Hong-Bin Fang, University of Maryland at Baltimore, USA,
hfang@som.umaryland.edu
Session Title: Multiplicity, Functional Model, and Missing Data in Clinical Trials
Session Chair: Jianguo Sun, University of Missouri at Columbia, USA,
sunj@missouri.edu
Speaker 1: Ming T. Tan, University of Maryland at Baltimore, USA,
mttan@som.umaryland.edu
Adaptive Designs for Clinical Trials with Multiple Endpoints
Speaker 2: Guo-Liang Tian, University of Hong Kong, Hong Kong, gltian@hkucc.hku.hk
Shape-restricted Regressions with Ordered Heteroscedasticity and
Their Applications in Bioassay
Speaker 3: Dianliang Deng, University of Regina, Canada, deng@uregina.ca,
Goodness of Fit of Multinomial Regression Models to Ordinal Longitudinal Data
Speaker 4: Hong-Bin Fang, University of Maryland at Baltimore, USA,
hfang@som.umaryland.edu,
Analysis for Temporal Gene Expressions under Multiple Biological Conditions
Session 56:
Session Organizers: Bin Cheng, University of Columbia, USA, bc2159@columbia.edu
and Xin Zhao, Merck Research Laboratories, USA, xin_zhao@merck.com
Session Title: Design and Analysis of Adaptive Clinical Trials
Session Chair: Bin Cheng, University of Columbia, USA, bc2159@columbia.edu
Speaker 1: Xin Zhao, Merck Research Laboratories, USA, xin_zhao@merck.com,
Bayesian Prediction for Interim Futility Analysis and Sample Size Reestimation
Speaker 2: Yi-Hsuan Tu, National Cheng Kung University, Taiwan, yhtu@stat.ncku.edu.tw,
A Note on Confidence Bounds after Step-down Tests
Speaker 3: Bin Cheng, University of Columbia, USA, bc2159@columbia.edu,
Design of Multi-Stage Transitional Seamless Trial with Different Objectives and
Endpoints
Speaker 4: Qing Liu, J&J Pharmaceutical Research and Development, L.L.C., USA,
qliu@its.jnj.com,
On Efficient Two-Stage Adaptive Designs for Clinical Trials with Sample Size
Adjustment
Session 57:
Session Organizers: Liuquan Sun, Chinese Academy of Sciences, China, slq@amt.ac.cn
Session Title: New Development in Semiparametric Models
Session Chair: Liuquan Sun, Chinese Academy of Sciences, slq@amt.ac.cn
Speaker 1: Xueqin Wang, Sun Yat-Sen University, China, wangxq88@mail.sysu.edu.cn
Statisitical Inference of Parent-twin Quartet Data
Speaker 2: Xingwei Tong, Beijing Normal University, China, xweitong@bnu.edu.cn
Censored Quantile Regression after Transformation
Speaker 3: Zhihua Sun, Chinese Academy of Sciences, China, sunzh@amss.ac.cn
Consistent Model Specification Test for a Partial Linear Model with Missing Covariates
at Random
Speaker 4: Riquan Zhang, East China University, China, zhangriquan@163.com
Generalized Varying-coefficient Single-index Model
Session 58:
Session Organizer: Jie Tang, Pfizer Inc, USA, tangj@pfizer.com
Session Title: Challenges and Opportunities of Properly Designing and Effectively Conducting
Clinical Trials for Successful Regulatory Approval in the Current Environment
Session Chair: Jie Tang, Pfizer Inc, USA, tangj@pfizer.com
Speaker 1: Kuang-Kuo Gordon Lan, Johnson & Johnson PRD,USA, Glan@its.jnj.com,
Design and Interim Data Analysis of Clinical Trials
Speaker 2: Jie Tang, Pfizer Inc, Oncology Business Unit, USA, tangj@pfizer.com,
Projecting Interim and Final Analysis Time for Oncology Trial
Speaker 3: Zhen (Robert) Luo, Pfizer Inc., USA, Zhen.Luo@pfizer.com,
Experience in Interacting with US FDA for Late-phase Trials
Session 59: (This session will be scheduled on either 12/20 or 12/21/2010.)
Session Organizer: Hubert Janpeing Chen, National Cheng-Kung University, Taiwan and
University of Georgia, USA, hjpcheney@yahoo.com
Session Title: Recent Statistical Applications
Session Chair: Xiang Rong Yin, University of Georgia, USA, xryin@stat.uga.edu
Speaker 1: Hubert Janpeing Chen, National Cheng-Kung University, Taiwan and
University of Georgia, USA, hjpcheney@yahoo.com
Prediction of Failure Rate of Taiwanese Companies by Logistic Model
Speaker 2: Xuelin Huang The University of Texas M. D. Anderson Cancer Center, USA,
xlhuang@mdanderson.org,
Using Information on Both Short-Term Response and Long-Term Survival
in the Design of Oncology Clinical Trials
Speaker 3: Miin-Jye Wen National Cheng Kung University, Taiwan, mjwen@stat.ncku.edu.tw
Application of the Analysis of Means with Unequal Variances
Speaker 4: Chen, Shu-Chuan, Arizona State University, USA, Shu-Chuan.Chen@asu.edu
Mixture Clustering and its applications in Bioinformatics
Session 60:
Session Organizer: Zhaojun Wang, Nankai University, China, zjwang@nankai.edu.cn
Session Title: Statistical Process Control
Session Chair: Zhaojun Wan, Nankai University, China, zjwang@nankai.edu.cn
Speaker 1: Kwok-Leung Tsui, Georgia Institute of Technology, USA, ktsui@isye.gatech.edu,
Recent Research in System Informatics, Prognostics, and Health Management
Speaker 2: Wei Jiang, Hong Kong University of Science and Technology, Hong Kong,
jiangwei08@gmail.com,
A Spatial Variable Selection Approach for Monitoring Product Surface in
Semiconductor Manufacturing
Speaker 3: Kaibo Wang, Tsinghua University, China,kbwang@tsinghua.edu.cn
A Variable-Selection-based Multivariate EWMA Chart for Process Monitoring and
Diagnosis
Speaker 4: Changliang Zou, Nankai University, China, chlzou@yahoo.com.cn
A Spatial-Rank Based Multivariate EWMA Control Chart
Session 61:
Session Organizer: Min-Qian Liu, Nankai University, China, mqliu@nankai.edu.cn
Session Title: New Developments in Design of Experiments
Session Chair: Rong-Xian Yue, Shanghai Normal University, China, yue2@shnu.edu.cn
Speaker 1: Nam-Ky Nguyen, Hanoi National University, Vietnam, namnk@isvnu.vn
An Algorithm for Constructing Second-Order Designs
Speaker 2: Pi-Wen Tsai, National Taiwan Normal University, Taiwan, pwtsai@ntnu.edu.tw
Optimal Blocking Schemes for Fractional Factorial Split-plot Designs
Speaker 3: Shengli Zhao, Qufu Normal University, China, zhaoshli758@126.com
Blocked Two-level Regular Factorial Designs with Minimum Aberration
Speaker 4: Yongdao Zhou, Sichuan University, China, ydzhou@scu.edu.cn
Constructing Uniform Designs by Integer Programming Method
Session 62:
Session Organizer: William Li, University of Minnesota, USA, wli@umn.edu
Session Title: Theory and Applications of Design of Experiments
Session Chair: William Li, University of Minnesota, USA wli@umn.edu
Speaker 1: Dennis Lin, The Pennsylvania State University, USA, dkl5@psu.edu
Recent Advances in Computer Experiments
Speaker 2: Runchu Zhang, Nankai University, China, zhrch@nankai.edu.cn,
A Theory on Constructing 2n-m Designs with General Minimum Lower Order
Confounding
Speaker 3: Jianwei Hu, Huazhong Normal University, China, hujianwei@mail.nankai.edu.cn,
Some Results on Two-Level Regular Designs with General Minimum Lower Order
Confounding
Speaker 4: William Li, University of Minnesota, USA wli@umn.edu,
A Class of Optimal Discrete Choice Designs for Quality Improvement
Session 63:
Organizer: Guohua Zou, Academy of Mathematics and Systems Science, Chinese Academy of
Sciences, China, ghzou@amss.ac.cn
Session Title: Model Selection and Model Averaging
Session Chair: Hansheng Wang, Peking University, China, hansheng@gsm.pku.edu.cn
Speaker 1: Hansheng Wang, Peking University, China, hansheng@gsm.pku.edu.cn
Testing the Diagonality of a Large Covariance Matrix in a Regression Setting
Speaker 2: Shurong Zheng, Northeast Normal University, China, zhengsr1993@gmail.com
Variable Selection Based on Projection for Generalized Linear Models with
Correlated Predictors
Speaker 3: Xinyu Zhang, Academy of Mathematics and Systems Science, Chinese Academy of
Sciences, China, xinyu@amss.ac.cn,
Model Averaging by Cross Validation
Speaker 4: Zhongzhan Zhang, Beijing University of Technology, China, zzhang@bjut.edu.cn
Variable Selection in Double Generalized Linear Models and Its Application |
