21. Intelligent Learning and Integrative Analysis in Cancer Research

Organizer and Chair: Shenying Fang, University of Texas MD Anderson Cancer Center,

Speaker 1: Panpan Wang, Fudan University, China, Email:
Title: Most Powerful Statistics for RNA-Seq and Image Association Analysis and Its Application to Kidney Cancer Study

Speaker 2: Kelin Xu, Fudan University, China, Email:
Title: Multiple Nonlinear Functional Regression Models for Identifying Pleiotropic Gene-Gene
Interactions Influencing Transcription and Its Application to RNA-Seq and Next-
Generation Data from 1000 Genome Project and Cancer Studies

Speaker 3: Shenying Fang, University of Texas MD Anderson Cancer Center. Email:
Title: Network-based Sufficient Dimension Reduction and Intelligent Classifier for Early
Detection of Pancreatic Cancer

Speaker 4: Pengfei Hu, Fudan University, China, Email:

Title: Smart Causal Machine Learner That Combines CT Image, Circulating Methylation,
RNA-Seq and Mirna-Seq Markers for Cancer Diagnosis and Precision Medicine.

22. New Generation of Genomic, Epigenomic, and Imaging Data Analysis in Mental
Disorder Studies

Organizer: Momiao Xiong, University of Texas School of Public Health and Fudan University,
Chair: Fengzhu Sun, University of Southern California, Email:

Speaker 1: Jianfeng Feng, Warwick University and Fudan University. Email:
Title: Novel Statistical Inference for Brain Science and Mental Disorders

Speaker 2: Zhixin Hu, Fudan University, China, Email:
 Title: Novel Integrated Systems Approach Discovers Genetic-Transcriptomic-Methylation-
Image Psychiatric Networks and Causal Pathways for Schizophrenia from Both Observational and Interventional Datasets

Speaker 3: Fengzhu Sun, University of Southern California, Email:
Title: Recent Development in Alignment-Free Genome and Metagenome Comparison

Speaker 4: Momiao Xiong, University of Texas School of Public Health and Fudan University, Email:
Title: Deep Learning the Sparse Causal Structure of Directed Chain Graphs for Psychiatric
Genomic- Epigenomic-Image-Clinic Phenotype Networks and Novel Statistics for
Multi-Level Network-Network Association Analysis in Alzheimer’s Disease Studies

23. Statistical Estimation and Inference with Applications to High-Dimensional Data

Organizer: Chunming Zhang, University of Wisconsin-Madison, Email:
Chair: Jian Zhang, University of Kent, Email:

Speaker 1: Jin-Ting Zhang, National University of Singapore, Email:
Title: An L2-norm Based Two-Sample Test for High-dimensional Data

Speaker 2: Xiangrong Yin, University of Kentucky, Email:
 Title: A New Estimation Procedure for Large p Small n Data

Speaker 3: Jiancheng Jiang, University of North Carolina-Charlotte, Email:
Title: High-Dimensional Nonnested Model Selection

Speaker 4: Xuemin Zi, Tianjin University of Technology and Education, 

Title: An Efficient Online Monitoring Method for High-Dimensional Data Streams

24. ICSA-Canada Chapter Sponsored CJS Special Invited Session: “Models and Methods for  Analysis of Complex Data”

Organizer and Chair: Grace Y. Yi, University of Waterloo, Email:

Speaker 1: Geert Molenberghs, Leuven Biostatistics and Statistical Bioinformatics Centre,
Title: Pseudo-likelihood and Split-sample Methods in Very Small and Very Large Studies

Speaker 2: Naisyin Wang, University of Michigan, Email:
Title: Effects of Calibration in Longitudinal/Functional Data Analysis

Speaker 3: Hyokyoung Grace Hong, Michigan State University, Email: hhong@s
Title:  Conditional Screening with High Dimensional Survival Outcome

Speaker 4: Wenqing He, University of Western Ontario, Email:
Title:  Partially Linear Single-Index Regression for Accelerated Failure Time Models

25.ICSA-Canada Chapter Sponsored Invited Session: “New Methods of Lifetime
      History Data”

Organizer: Wenqing He, University of Western Ontario, Email:
 Chair: Ronghui Xu, University of California San Diego, Email:

Speaker 1: Zhezhen Jin, Columbia University, Email:
Title: Challenges in the Analysis of Duration of Response with Multiple Endpoints
Speaker 2: Chengcheng Hu, University of Arizona, Email:
Title: Event Time Analysis in the Study of Chronic Beryllium Disease

Speaker 3: Liqun Diao, University of Waterloo, Email:
Title:  Doubly Robust Survival Random Forests

Speaker 4: Xingqiu Zhao, The Hong Kong Polytechnic University, Email:
Title: Efficient Estimation of Varying Coefficient Linear Transformation Model for Interval
Censored Data

26.ICSA-Canada Chapter Sponsored Invited Session: “Recent Advance of Survival
      Data Analysis”

Organizer: Grace Y. Yi, University of Waterloo, Email:
Chair: Yanqing Sun, University of North Carolina Charlotte, Email:

Speaker 1: Ronghui Xu, University of California San Diego, Email:
Title: Challenges and Opportunities in Analyzing Observational Data in Pregnancy

Speaker 2:  Ying Yan, University of Calgary, Email:
Title:   Model diagnostics for survival data with covariate measurement error

Speaker 3: Paul Peng, Queen’s University, Email:
Title: Prediction Accuracy in Cure Models

Speaker 4: Qihua Wang, Academy of Mathematics and Systems Science,
Chinese Academy of Sciences, Email:
Title: Heteroscedastic Transformation Regression Models with Unknown Transformation Function and Error Distribution for Censored Data

27. New for Definitive Screening Designs

Organizer and Chair: Bradley Jones, JMPP Division/SAS, Email:

Speaker 1: Hongquan Xu, University of California at Los Angeles,  Email:
Title: Composite Designs Based on Orthogonal Arrays and Definitive Screening Designs

Speaker 2: Frederick Phoa, Institute of Statistical Science, Academia Sinica,
Title: Definitive Screening Design: An Important Class of Circulant-Type Design

Speaker 3: Nam Ky Nguyen, Vietnam Institute for Advanced Study in Mathematics,
Title: Blocking DSDs and DSDs with Augmented 2-level Factors

Speaker 4: Bradley Jones, JMP Division of SAS Institute, Email:

Title: Design Centric Model Selection for Definitive Screening Designs

28. Recent Advances in Computer Experiments

Organizer and Chair: Min-Qian Liu, Nankai University, Email:

Speaker 1: Dennis K. J. Lin, Pennsylvania State University, Email: 
Title: Computer Experiments Making Uses of Latin Hypercube: Some Recent Developments 

Speaker 2: Jianfeng Yang, Nankai University, Email: 
Title: A New Class of Nested Orthogonal Latin Hypercube Designs

Speaker 3: Hao Chen, Tianjin University of Finance and Economics,
Title: Computer Experiments with Multiple Responses

Speaker 4: Ruiyuan Cao, Beijing University of Technology, Email: 

Title: Construction of Nearly Orthogonal Array Based Latin Hypercube Designs

29. SIB Special Invited Session: “Statistics into Biosciences”

Organizer and Chair: Mei-Cheng Wang, Johns Hopkins University,  Email:

Speaker 1: Jack Lee, The University of Texas MD Anderson Cancer Center,
Title: Bayesian Adaptive Designs From Theory to Practice: How Can We Turn Promise to
Progress in Designing and Conducting Better Clinical Trials?

Speaker 2: Yi-Hau Chen, Institute of Statistical Science, Academia Sinica,
Title: Joint Regression Analysis of Marginal Quantiles and Quantile Association for
Longitudinal and Clustered Data

Speaker 3: Yanqing Sun, University of North Carolina at Charlotte, Email:
 Title: Analysis of Stratified Mark-Specific Proportional Hazards Models under Two-Phase
Sampling with Application to HIV Vaccine Efficacy Trials

Speaker 4: Fang Han, Johns Hopkins University, Email:
 Title: Structure-Induced Graph Learning and Graph Regression, with Applications to

30. CIPS Sponsored Invited Session: “Design of Experiments”

Organizer: Ray-Bing Chen, National Cheng Kung University, Email:
Chair: Yuan-chin Chang, Academia Sinica, Email:

Speaker 1: Weng Kee Wong, University of California, Los Angeles, Email:
Title: Efficient Algorithms for Extended Two-stage Adaptive Designs for Phase II Clinical
Speaker 2: Chang-Yun Lin, National Chung Hsing University,
Title: Minimum Contamination and β-aberration Criteria for Screening Quantitative Factors
Speaker 3: Hsiang-Ling Hsu, National University of Kaohsiung, Email: 
Title: A Joint Selection of Designs and Models for Optimal Forecasting in Possibly Misspecified
Polynomial Regressions
Speaker 4: Yuan-Chin Chang, Academia Sinica, Email:
Title: Active Learning in Binary Classification Problems via Stochastic Linear Models