2016 ICSA APPLIED STATISTICS SYMPOSIUM Atlanta, GA June 12-15, 2016 Published by: International Chinese Statistical Association Photographer for the front cover: Diana Li International Chinese Statistical Association Applied Statistics Symposium 2016 CONFERENCE INFORMATION,PROGRAM AND ABSTRACTS June 12 - 15, 2016 Hyatt Regency Atlanta Atlanta, Georgia, USA Organized by International Chinese Statistical Association c 2016 International Chinese Statistical Association Contents Welcome ..........................................................1 Conference Information . .2 ICSA Officers and Committees . .2 Conference Committees . .4 Acknowledgements . .6 Travel and Transportation . .9 Conference Venue Information . 10 Program Overview . 15 Keynote Lectures . 17 Banquet Speaker . 20 Student Paper Awards . 21 Short Courses . 22 Career Service . 28 Social Events . 29 The 10th ICSA International Conference . 30 ICSA 2017 in Chicago, IL. 31 ICSA Dinner at 2016 JSM . 32 Scientific Program . 33 Monday, June 13. 8:00 AM - 9:30 AM . 33 Monday, June 13. 10:00 AM-11:40 AM . 33 Monday, June 13. 1:30 PM - 3:10 PM . 36 Monday June 13. 3:30 PM - 5:10 PM . 40 Tuesday, June 14. 8:00 AM - 10:10 AM . 43 Tuesday, June 14. 10:30 AM - 12:10 PM . 44 Tuesday, June 14. 1:30 PM - 3:10 PM . 47 Tuesday, June 14. 3:30 PM - 5:10 PM . 51 Wednesday, June 15. 8:30 AM - 10:10 AM . 54 Wednesday, June 15. 10:30 AM-12:10 PM . 58 Abstracts . 63 Session 1: Biostatistics in Medical Applications . 63 Session 2: Geometric Approaches in Functional Data Analysis . 64 Session 3: Advance in Statistical Genomics and Computational Biology . 64 Session 4: New Developments in Biomedical Research and Statistical Genetics . 65 Session 5: Change-Point Problems and their Applications (III) . 66 Session 6: Statistical and Computational Analysis of High-Throughput RNA Sequencing Data . 67 Session 7: Emerging Statistical Methods for Longitudinal Data . 67 Session 8: Empirical Bayes, Methods and Applications . 68 Session 9: Bayesian Methods for Complex Data. 69 Session 10: Statistics and its Applications . 70 Session 11: Recent Developments of High-Dimensional Hypothesis Testing. 70 Session 12: Advanced Methodologies in Analyzing Censoring Data . 71 Session 13: Recent Advancement in Adaptive Design of Early Phase Clinical Trials by Accounting for Schedule Effects or Using Other Approaches . 72 Session 14: Contemporary Statistical Methods for Complex Data . 73 Session 15: Recent Development in Time-to-Event Data Analysis . 74 iii Session 16: Statistics and Big Data . 74 Session 17: Recent Advances in Design Problems . 75 Session 18: New Statistical Computing using R . 76 Session 19: Statistical Modeling and Inference on Complex Biomedical Data . 77 Session 20: Statistical Advances in Omics Data Integration . 78 Session 21: Statistical Preprocessing of Deep Sequencing Data . 79 Session 22: Change-Point Problems and their Applications (I) . 79 Session 23: Order-restricted Statistical Inference and Applications . 80 Session 24: Recent Advances of the Statistical Research on Complicated Structure Data . 81 Session 25: Innovative Methods for Modeling and Inference with Survival Data . 81 Session 26: Nonparametric Methods for Neural Spike Train Data . 82 Session 27: Subgroup Identification/Analysis in Clinical Trials . 83 Session 28: Model Selection/Averaging and Objective Assessment. 84 Session 29: Advances and Applications in Methods for Comparative Effectiveness Research . 85 Session 30: Statistical Genetics . 86 Session 31: Recent Advances in Statistical Methods for Challenging Problems in Neuroimaging Applications . 87 Session 32: Advances in Pharmacogenomics and Biomarker Development . 87 Session 33: Model Assessment for Complex Dependence Structure . 88 Session 34: Semiparametric Methods in Biostatistics . 89 Session 35: Recent Research of Omics Data by Young Investigators . 90 Session 36: New Methods with Large and Complex Data . 90 Session 37: Can Linearly Dependent Confounders Be Estimated? ¨C The Case of Age-Period-Cohort and Beyond 91 Session 38: Challenges and Methods in Biomarker Research and Medical Diagnosis . 92 Session 39: Change-Point Problems and their Applications (II) . 92 Session 40: Statistical Issues in Analysis and Interpretation of Human Drug Abuse Study Data . 93 Session 41: Analysis of Multi-Type Data . 93 Session 42: New Advances in Quantile Regression . 94 Session 43: Advances and Challenges in Time-to-Event Data Analysis . 95 Session 44: Jiann-Ping Hsu invited Session on Biostatistical and Regulatory Sciences . 96 Session 45: Complex Data Analysis: Theory and Methods . 96 Session 46: Fundamentals and Challenges in Subgroup Identification and Analysis . 97 Session 47: Joint Model and Applications . 98 Session 48: Recent Development in Functional Data Analysis and Applications . 99 Session 49: Recent Development of Bayesian High Dimensional Modeling, Inference and Computation . 99 Session 50: On Clinical Trials with a High Placebo Response . 100 Session 51: Statistical Learning Methods . 101 Session 52: Novel Design and/or Analysis for Phase 2 Dose Ranging Studies . 102 Session 53: Lifetime Data Analysis . 102 Session 54: Innovative Methods for Clinical Trial Designs . 103 Session 55: Recent Advances in Statistical Methods for Alzheimer’s Disease Studies . 104 Session 56: High Dimensional Model and Prediction . 105 Session 57: Statistical Methods for Medical Research using Real-World Data . 106 Session 58: New Developments on High Dimensional Learning . 107 Session 59: Emerging Statistical Theory in Analyzing Complex Data . 108 Session 60: Survival and Cure Rate Modeling . 109 Session 61: Semiparametric Statistical Methods for Complex Data ..