PharmaSUG China 2019 Conference Proceedings
Shanghai
Aug 30 - Aug 31, 2019
Application Development & Technical Techniques
AD07. Project Management in SharePoint - utilities empowering process in clinical domainCharan Kumar Kuyyamudira Janardhana, Ephicacy Lifescience Analytics
AD10. Data De-identification Automation in SAS
*** BEST PAPER ***
Huan Lu, Sanofi Aventis
AD14. Excel-like Data Definition Editor for Real-time Generation of Define.xml and Mapping specs Management
xinyan song, YinZhen Information¡¡
AD18. Escape trap ¨C External Data Interaction with SAS
Ping Lu, SAS Institute
AD25. SAS Utility to Combine RTF Outputs and Create a Multi-Level Bookmark Hierarchy and a Hyperlinked TOC
*** BEST PAPER ***
Lugang (Larry) Xie, Janssen Research & Development
AD28. Programming Automation Using Object Oriented Python and Pandas
Dan Li, Sanofi Aventis
AD29. Title and footnote automation, VBA helps you out
Shuai Wu, PRA Health Sciences
AD30. Large batch processing of TLF pagination auto-inspection, 10 secs is enough
(No paper available)
Michael Yang, PRA Health Sciences
AD41. An Introduction to SAS¡¡ Arrays
Andrew Kuligowski, independent
AD56. GCIG Criteria, Programming Makes It Easy
Liming Xie, BeiGene
AD61. A Practical Use of Bitwise Encoding in SAS¡¡
Rowland Hale, Syneos Health
AD72. Use HTML to Make Your Check Log Routine Efficient
Xin Wang, FMD K&L
Coder's Corner
CC22. SAS Report Writing Interface vs R Markdown for Patient Profile GenerationQin Meng, dMed
CC26. Implement MCP-Mod using SAS and R
Xuan Yang, Boehringer Ingelheim
CC27. Data visualization with Python Techniques
Wenfang Li, Boehringer Ingelheim
CC34. Repeated manual QC by Eyes? No, try to work easier
Xiaoyuan (Cecilia) Yang, Sanofi
CC35. LST and RTF Output Check Tool
Mary Rose Alpha Sibayan, PPD
CC36. Create your SAS programs automatically using python
Jia Linjie, Sanofi
CC49. Innovative Clinical Programming Methods
Richard Allen, Peak Stat
CC50. Writing robust SAS macros
Yan Qiao, BeiGene
CC51. Exploration of SAS Output Solutions
*** BEST PAPER ***
Liao Wen, Proswell Medical Company
CC57. A SAS Macro for Converting Character Dates of Various Formats into Numeric
Hao Dong, Hutchision MediPharma
CC65. Tips in R shiny App for Patient Profile
Xingtian Chen, Boehringer Ingelheim
CC73. Four steps to get a quick start with Perl Regular Expressions in SAS¡¡
*** BEST PAPER ***
Qin Ni
CC83. Skills to work with character values in SAS
Mu Zhang, Amgen
Data Management & Validation
DM15. Ease of Use by Clinical Trial Data: Analysis in an End-To-End Clinical Data Management to Submission ProcessEmma Liu, SAS Institute
DM20. Automate the detecting, reporting of raw data issue from eCRT package validation
Yu Zhu, Boehringer Ingelheim
DM40. Case Study: Using Base SAS to Automate Quality Checks of Excel Workbooks that have Multiple Worksheets
Andrew Kuligowski, independent
DM42. Medical Review Support in Clinical Trial: Method of Staging Lung Cancer Automatically According to TNM Staging System Using SAS Software
Pu Huang, BeiGene
DM45. A User-Customized and Automatic SDTM Data Checking Tool
*** BEST PAPER ***
Miao Yu, BeiGene
DM48. Creating a Function for Lab Toxicity Grading using PROC FCMP
Richard Allen, Peak Stat
DM80. Advanced PROC SQL techniques
Charu Shankar, SAS Institute
DM81. Top 10 SAS programming efficiencies
Charu Shankar, SAS Institute
Data Standards/CDISC and Regulatory Submission
DS24. Adding Table of Contents (TOC) for the Annotated CRF AutomaticallyYang Zhou, dMed
DS37. A Simple Aggregated Web Page to Collect Trial Summary Domain Dictionaries
Jingwei Huang, Pfizer
DS58. China PASS and Japan PMS
Yusuke Inoue, Novartis
DS68. How to ensure quality in data submission?
Angelo Tinazzi, Cytel Inc
DS69. A Systematic Review of CDISC TAUGs
Angelo Tinazzi, Cytel Inc
DS70. Patient Narrative Generation, PROC Report/Stream vs R Markdown
Yuanyuan Gu, dMed
DS71. Introduction, Implementation and Analysis with Lymphoma Related Data
Shuo Chi, Shuo Chi
DS74. Electronic Data Submission to PMDA : Our experiences and matters of concern
*** BEST PAPER ***
Yasuhiro Iijima, Novartis
DS75. Using SAS macro to automatically update study specific information in SDTM spec for generating Define.xml
Junkai Zhao, Everest Clinical Research
Data Visualization and Graphics
DV19. Interact with your data and create interactive plots with R ShinyDan Feng, Pfizer
DV21. Automation of Axes Scale Setting in Figures using SAS Graph Template Language (GTL)
Xiang Liu, Pfizer
DV38. Effective Graphical Representation of Tumor Data
Sanjay Matange, SAS Institute
DV43. Flowcharts Drawn with SAS/GTL
Xiufang Zhang, FMD K&L
DV54. Using R to Query Dataset from SAS Server to Generate Clinical Trial Graphs
Chen Wei, J&J
DV66. Several tips for creating graphs using PROC SGPLOT & PROC TEMPLATE
Chunyan He, Carsgen pharmaceuticals
DV67. Graphical Presentation of Clinical Data in Oncology Studies Using R
Linqing Wang, Hutchision MediPharma
DV79. Extract X and Y coordinates from Image by GROOVY Procedure
KuenHung Lin, Athenex
DV85. Visualization of efficacy endpoints in oncology clinical trials
*** BEST PAPER ***
Shilpakala Vasudevan, Ephicacy Lifescience Analytics
Hands on Workshop(HoW)
HW06. Advanced Figures using SAS Graph Template Language (GTL)Wei (Tony) Zhang, Pfizer
HW32. PARSING: Using SAS¡¡ When the Data Are Hiding in a Non-Standard Format
Andrew Kuligowski, independent
HW39. Build Popular Clinical Graphs using SAS - Hands-On Workshop
Sanjay Matange, SAS Institute
HW60. SAS¡¡ ODS Graphics - How to Position your Annotations
Rowland Hale, Syneos Health
HW82. The Shape of SAS¡¡ code
Charu Shankar, SAS Institute
Management and Career Development
MA23. Technical hot spots for career development - An overview of hot topics in PharmaSUG and PhUSE conferences*** BEST PAPER ***
Wenfang Li, Boehringer Ingelheim
MA31. Millennial Management of Gen Z Workers
Margaret Hung, MLW Consulting LLC
MA46. Programmers' role in new drug development and application
Cindy Song, BeiGene
MA55. Lessons in People Management ¨C Lessons from Start-ups
Siva Ramamoorthy, Ephicacy Lifescience Analytics
MA62. Risk Management on Programming Efforts for CSR Delivery
Yiqian Jiang, Janssen Research & Development
MA64. How to Show Your Best You at An Interview
Lei Wang, The Lotus Group
MA78. What Vendor Surveillance can learn from: Basel Accord of Banking Supervision principles for risk management
Gloria Zhong, Merck
MA86. Clinical Programming is More Than Programming
Fangfang Wu, Shanghai Canming Medical Science & Technology CO.,LTD
Poster
PO44. Comparison of SAS Procedures for Categorical Analyses in Binominal TestYueqing Wang, Pfizer
PO77. Backward Selection¡ªa way to final model
Connie Shao, Boehringer ingelheim
Statistics & Pharmacokinetics
SP03. The diagnosis and handling of Missing data in clinical trialsYing Yao, Boehringer Ingelheim
SP53. Simon¡¯s Two-Stage Design with Safety Assessment added
Xiaojing Wu, dMed
SP63. Macro library that implements non-compartmental analysis of pharmacokinetics and generates the outputs in CDISC SDTM format
Sujin Seo, Hanmi Pharmaceutical Co., Ltd.