Beijing, China
Sep 9-10, 2016
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 ProgrammerVictor 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 RTFShiran 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 FlyKathy 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 validationChunpeng 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