Beijing, China
Sep 9-10, 2016


For more papers of other UG conferences, please go to http://www.lexjansen.com

CDISC

CD01. Practical Experience in Implementing CDISC Standards for Global Cardiovascular, Clinical Outcome Assessment and Respiratory Trials
*** BEST PAPER ***
David Ju, ERT Inc., Philadelphia, USA

CD02. From Data Collection to Regulatory Submission - a Journey
Todd Case, Vertex Pharmaceuticals, Boston, USA

CD03. The Dream of a Common Vision: (Evolving) Standards
Todd Case, Vertex Pharmaceuticals, Boston, USA

CD04. MRCT and Project Centric Approach
Jingwei Gao, Boehringer Ingelheim, China

CD05. ADaM Compliance VS Easy-Reviewed in Design and Construct Efficacy Analysis Datasets
Huadan Li, MSD R&D (China) Co., Ltd., Beijing, China

CD06. How to handle the mapping of the eCRF form with the combined information
Shirley Wu, Roche, Shanghai, CP

CD07. Analysis of Patient Reported Outcome (PRO) Endpoints in Clinical Trial
Tongda Che, MSD R&D China
Peng Wan, MSD R&D China

CD08. Development Approach on the Sponsor-Defined Extensions of the Model
Gen Pan, Roche, Shanghai, China

CD09. Strategy to Start to Implement CDISC Standards
Victor Wu, Beijing Data Science Express Consulting Co., Ltd

CD10. Define.xml Content Validation - CRF Page Check
Xianhua (Allen) Zeng, PAREXEL International, Shanghai, China
Shenglin Zhang, PAREXEL International, Shanghai, China

CD11. ADaM Tips for Exposure Summary
Kriss Harris, SAS Specialists Limited, Hertfordshire, United Kingdom

CD12. Building Your Own CDISC Application with SASĀ® Clinical Standards Toolkit
Jing Gao, SAS R&D, Beijing, China



Career Development

CR01. Making Quicker Progress in Career Path for SAS Programmer
Victor Wu, Beijing Data Science Express Consulting Co., Ltd

CR02. An Automatic QC Status Tracking and Management System
Yonghong Hao, GCP ClinPlus Co., Ltd., Beijing, China
Jun Wu, GCP ClinPlus Co., Ltd., Beijing, China
Yulin Li, GCP ClinPlus Co., Ltd., Beijing, China
Jingfang Wu, GCP ClinPlus Co., Ltd., Beijing, China



Data Analysis, Statistics

DS01. Creating Reader-friendly Clinical Summary Statistics Tables Using PROC REPORT and ODS RTF
Shiran Chen, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, US

DS02. General AUC calculated based on the trapezoidal rule
Jianfeng Ye, Sanofi, China

DS03. What's the BIG Deal with Missing Data?
Peter Eberhardt, Fernwood Consulting Group Inc.
Mina Chen, Roche Product Development in Asia Pacific, Shanghai, China

DS04. ESTIMATE/CONTRAST Statement too Complex? Tell the Effect Level and Let SAS Do It for You
Aide Zhou, Sanofi, Beijing, China
Eric Liao, Sanofi, Beijing, China

DS05. Are Your Random Numbers Created by SAS? Good Enough?
Yanze Zhang, MSD, Shanghai, China

DS06. Hands-on Example of Matrix Operation in SAS with Different Approaches
Huan Cheng, Quintiles inc., Shanghai, China

DS07. Survival Analysis Translation from Statistician to Programmer
*** BEST PAPER ***
Amanda Yi, Roche, Shanghai, China

DS08. Using SAS to Calculate Statistical Properties of Traditional 3+3 Design
Tao Tan, Hengrui, Shanghai, China



Data Visualization

DV01. Create a Graph Template on the Fly
Kathy Chen, Pharmacyclics LLC, An Abbvie Company, Sunnyvale, CA, U.S.A

DV02. Change mindset: Review the data based on visualization
Author Siye Liu, Roche (China) Holding Ltd., Shanghai, China

DV03. How to make GTL programming easy - An introduction to a GTL macro
Kevin Chen, Boehringer Ingelheim (China) Investment Co., Ltd

DV04. The NextGEN of Lumberjacks: Are You Using the Right Tool For the Right Tree in the Forest?
Gen Pan, Roche, Shanghai, China

DV05. Smart Statistical Graphics - A Comparison Between SAS ? and TIBCO Spotfire ? In Data Visualization
Yi Gu, Roche Product Development in Asia Pacific, Shanghai, China

DV06. Scalable Vector Graphics (SVG) using SAS
Yang Wang, Seattle Genetics, Inc., Bothell, WA
Vinodita Bongarala, Seattle Genetics, Inc., Bothell, WA

DV07. An efficient way to create split Axis in Graph
Ryan Feng, Novartis, Shanghai, China

DV08. Clip Extreme Values for a More Readable Box Plot
*** BEST PAPER ***
Mary Rose Sibayan, PPD, Manila, Philippines
Thea Arianna Valerio, PPD, Manila, Philippines

DV09. Big Insights in Small Data with RStudio Shiny
Mina Chen, Roche Product Development in Asia Pacific, Shanghai, China

DV10. Animate Your Safety Data
Kriss Harris, SAS Specialists Limited, Hertfordshire, United Kingdom

DV11. How to customize your business process more effectively by BPMN with SASĀ®
Yeqian Gu, SAS R&D, Beijing, China



Hands-On Workshop

HW01. An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS?
Vincent DelGobbo, SAS Institute Inc., Cary, NC

HW02. Hands-on GTL
Kriss Harris, SAS Specialists Limited, Hertfordshire, United Kingdom



Poster

PS01. Automation of SDTM Programming in Oncology Disease Response Domain
*** BEST PAPER ***
Yiwen Wang, Eli Lilly and Company, Shanghai, China
Yu Cheng, Eli Lilly and Company, Shanghai, China
Ju Chen, Eli Lilly and Company, Shanghai, China

PS02. Blind Data Review in Clinical Trials
Jiashu Li, Eli Lilly and Company, Shanghai, China
Dong Guo, Eli Lilly and Company, Shanghai, China

PS03. Three Approaches to Estimate Power by SAS
Xiang Liu, Eli Lilly and Company, Shanghai, China

PS04. Proposal for Streamlining the SDRG and ADRG Authoring Process
Stanley Wei, Reporting System & Tools Group, Beijing Novartis Pharma Co. Ltd., Shanghai

PS05. Macro Quoting: Which Function Should We Use?
Pengfei Guo, MSD R&D (China) Co., Ltd., Shanghai, China

PS06. Custom useful SAS functions using the PROC FCMP procedure
Qixia Shi, Fountain Medical Technology Co., ltd, Nanjing, China
Guanyu Su, Fountain Medical Technology Co., ltd, Nanjing, China

PS07. Proportion difference and confidence interval based on Cochran-Mantel-Haenszel method in stratified multi-center clinical trial
Huiping Zhang, Fountain Medical Development, Inc., Nanjing, China

PS08. The Simple Application of SAS DDE in Excel
Danting Guo, Fountain Medical Development, Inc., Nanjing, China



Programming

PG01. Two macros for dataset validation
Chunpeng Zhao, Novartis, Shanghai, China

PG02. Confessions of a Macro Developer - The trials and tribulations of building a large macro system
Rowland Hale, inVentiv Health Clinical, Berlin, Germany

PG03. SAS Automation and More
Frank Fan, Abbott Vascular, Santa Clara, CA

PG04. A Grid Computing Tool to Batch Run a List of SAS? Programs
Huashan Huo, PPD, Beijing
Zhongyu Li, PPD, Beijing
Lu Zhang, PPD, Beijing

PG05. An Effective Way to Produce Laboratory Shift Table
Amanda Yi, Roche, Shanghai, China

PG06. A Macro to Import Data from CSV File to SAS
Liang Guo, FMD, Wuhan, Hubei Province, China
Pei Zhang, FMD, Wuhan, Hubei Province, China

PG07. How to give SAS ambiguous instructions and still win big?
Hui Liu : Eli Lilly China/ Stats group, Medical Dept

PG08. A Web Interface for Efficient Clinical Trial Program Development
*** BEST PAPER ***
Hao Jin, Fountain Medical Technology Co., Ltd, Nanjing, China
Ping Ni, Fountain Medical Technology Co., Ltd, Nanjing, China

PG09. What's on behind - Revisit DATA step processing to avoid unexpected errors in a DATA step
Xuan Sun, PPD, Beijing, China

PG10. PROC DS2 - A powerful tool you need to know
Weston Chen, Novartis, Shanghai, China

PG11. Why not Picture Format?
Gaoyang Li, Bayer Healthcare co., Ltd, Beijing

PG12. Using SAS@ to Assemble Output Report Files into One PDF File with Bookmarks
Sam Wang, Merrimack Pharmaceuticals, Inc., Cambridge, MA
Kaniz Khalifa, Leaf Research Services, Inc., Southeastern, PA

PG13. The Impact of Change from wlatin1 to UTF-8 Encoding in SAS Environment
Hui Song, PRA Health Sciences, Blue Bell, PA, USA
Anja Koster, PRA Health Sciences, Zuidlaren, The Netherlands

PG14. Interactive SAS Analysis Service (iSAS) within AIX Unix SAS Server
Stanley Wei, Novartis, Shanghai, China

PG15. Big Data Processing Techniques
Eduard Joseph Siquioco, PPD, Manila, Philippines

PG16. Maximizing the use of SAS Shortcuts
Eduard Joseph Siquioco, PPD, Manila, Philippines

PG17. Make the Most Out of Your Data Set Specification
Thea Arianna Valerio, PPD, Manila, Philippines

PG18. PPG, a metadata driven solution for patient profile generation
Weina Jia, Sanofi, Beijing,China
Eric Li, Sanofi, Beijing,China
Vincent Fan, Sanofi, Beijing,China
Yihong Chi, Sanofi, Beijing,China
Qingan Chang, Sanofi, Beijing,China

PG19. Use Hash to reduce run time
Xiaotian Wu, PPD
Yu Zhu, PPD

PG20. Hash Object Working Efficiently with Large SAS Datasets
Yazhen Wang, Fountain Medical Development Co., Ltd
Hao Xu, Fountain Medical Development Co., Ltd

PG21. Utilizing SAS? and Groovy to combine multiple RTF/PDF reports to one bookmarked PDF document
Xin Weiquan J&J Pharma
Wang John J&J Consumer

PG22. Performing Pattern Matching by Using Perl Regular Expressions
Arthur Li, City of Hope National Medical Center, Duarte, CA