PharmaSUG China 2018 Conference Proceedings
Beijing
Aug 30 - Sep 1, 2018
AD - Application Development & TechnicalTechniques
AD01. Practical Uses of the DOW Loop in Pharmaceutical ProgrammingRichard Allen, Peak Stat
AD07. Varied languages, Universal thought: How to handle multilingual data in SAS
Di Chen, SAS Beijing R&D
AD08. SAS Macros to check and solve common problems in Oncology studies
Zhuo Chen, Hutchison MediPharm Ltd.
AD15. SAS Techniques to Handle Large Files And Shorten Execution times
Kaiqing Fan, Mastech Digital Inc.
AD38. Document Automation using R Markdown
Wenfang Li, Boehringer Ingelheim (China) Investment Co., Ltd
AD39. Best Practices for Interactive Analyses for Decision Making and Submission
Gaoyang Li, Bayer
AD40. Simplifying Your %DO Loop with CALL EXECUTE
Arthur Li, City of Hope National Medical Center
AD41. How Best to Use Macro Quoting Functions
Arthur Li, City of Hope National Medical Center
AD44. A Macro to Automate RFPENDTC Derivation
Dan Li, Sanofi-Aventis
AD49. Combining quality of productivity and efficiency under highly pressure of lacking time – discussion by view of first-time quality
Winkle Lu
AD54. A Macro for checking incorrect format of time variable
Lanlan PENG, Sanofi
AD58. TLF Management Tools: SAS programs to help in managing large numbers of TLFs
Eduard Joseph Siquioco, PPD
AD61. An efficient way to check log issue in SAS EG
sichan Tang, BeiGene
AD62. Decomposition and Reconstruction of TLF Shells - a Simple, Fast and Accurate Shell Designer
Chengeng Tian, dMed Biopharmaceutical Co., Ltd.
AD64. A tool to compare different data transfers
Jun Wang, FMD K&L Inc.
AD71. No Solution to Auto-generating acrf.pdf? Try to Use GROOVY Procedure!
Yin-Jhen Yan, PAREXEL International
CC - Coder's Corner
CC18. Basic SAS® Hash Programming Techniques Applied in Our Daily Work in Clinical Trials Data Analysis
LI FANYU, MSD
CC20. Write Your Dynamic Programming Function with SAS FCMP
Emily Gao, SAS Research and Development (Beijing) Co., Ltd.
CC23. Make your program tracking sheet more powerful - Using VBA
Pengfei Guo, MSD R&D (China) Co., Ltd.
CC32. Opening multiple SAS sessions in Windows PC environment
Rob Howard, Veridical Solutions
CD - Data Standards/CDISC & Regulatory Submission
CD03. Knock Knock!!! Who's There??? - Challenges faced while pooling data and studies for FDA submissionAmit Baid, CLINPROBE, LLC
CD09. Every second counts! Save time on developing Trial Summary Specification.
Mei-Chen Chu, PAREXEL
CD24. Common Pinnacle 21 Report Issues: Shall we Document or Fix?
Ajay Gupta, PPD
CD36. What is RE domain?
David Ju, ERT
CD43. Standardize Study Data for Electronic Submission
Qin Li, Regeneron Pharmaceuticals, Inc.
CD57. Some Common Programming Errors and Possible Solutions That Could Impact a Successful NDA/BLA
amos shu, AstraZeneca
CD66. Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation
Richann Watson, DataRich Consulting
CD68. Considerations in ADaM Occurrence Data: Handling Crossover Records for Non-Typical Analysis
Richann Watson, DataRich Consulting
CD72. Display the XML Files for Disclosure to Public by Using User-defined XSL
Zhiping Yan, BeiGene
CD77. Programming Support for BIMO deliverable
Rong Zhang, Pfizer (China) Research & Development Co. Ltd.
CD79. My understandings to SDTM and ADaM
Chunpeng Zhao, Boehringer-Ingelheim
DM - Data Validation & Management
DM02. User-defined Functions for Processing Lab DataRichard Allen, Peak Stat
DM05. Leveraging Metadata when Mapping to CDISC Standards with SAS® Machine Learning
Matt Becker, SAS
DM22. How to do data validation plan autogeneration in clinical trial
David Guo, Proswell
DM45. Standardize Study Data for Electronic Submission
Qin Li, Regeneron Pharmaceutical
DM47. Decision making confidence: the way to make decision by Process Data with BPMN in SAS® LSAF
Emma Liu, SAS Beijing R&D
DM73. Best Practices for E2E DB build process and Efficiency on CDASH to SDTM data
tao yang, FMD&KL
DV - Data Visualization & Graphics
DV04. Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology StudiesMatt Becker, SAS
DV16. Create Cupid Arrow into Two Love Hearts Image Using SAS PROC TEMPLATE --- For the Valentine’s Day
Kaiqing Fan, Mastech Digital Inc.
DV17. Draw statement, more flexibility with GTL(Graph Template Language)
Kuangye Fang, PPD
DV19. Pay Less but Get More, Analyze Medicare Claims Data using SAS® Episode Analytics
Shuang Fu, SAS Research and Development (Beijing) Co., Ltd.
DV25. Advanced Visualization using TIBCO Spotfire® and SAS®
Ajay Gupta, PPD
DV29. V is for Venn Diagrams
Kriss Harris, SAS Specialists Limited
DV34. Using the ODS GRAPHICS® to Create Patients Enrollment Graphs
Yiqian Jiang, Johnson & Johnson (China) Investment Ltd.
DV46. Efficient Graphing of Basic Data Structure - Let Data Decide Scale of Y-Axis for Themselves
KuenHung Lin, PAREXEL International
DV51. Advanced Clinical Graphs using Axis Tables
Sanjay Matange, SAS Institute Inc.
DV52. Multi-Arm CONSORT Diagrams with SAS
Sanjay Matange, SAS Institute Inc.
DV56. Utilize Dummy Variables/Datasets in Graph Generation
amos shu, AstraZeneca
MA - Management & Career Development
MA33. Managing and Retaining Millennials & Generation ZMargaret Hung, MLW Consulting LLC
MA37. User Experience or Data Driven - the life of METRICS
Charan Kumar K J, Ephicacy Lifescience Analytics Pvt. Ltd.
MA65. How to Take Your Next Step in Your Career
Lei Wang, The Lotus Group
PO - Posters
PO13. How to Create Graphic Images in Assembly Line Way Using PROC TEMPLATE in SAS Enterprise GuideKaiqing Fan, Mastech Digital Inc.
PO14. How to automatically cover arbitrary changes Using automatic code generation method in SAS Enterprise Guide
Kaiqing Fan, Mastech Digital Inc.
SP - Statistics & Pharmacokinetics
SP11. Survival Analysis to Cox PH Models with Time-varying CoefficientsHao Dong, Hutchison MediPharma
SP28. A SAS Macro for Continuous Glucose Monitoring (CGM) Data Analysis
Xiaoran Han, The Chinese University of Hong Kong
SP48. Statistical Programming Analysis of Percentage of Responders in Alzheimer’s Disease
yan liu, MSD
SP63. Sense and Censorability: Learn censoring techniques with ADTTE for your survival
Shilpakala Vasudevan, Ephicacy Lifescience Analytics
SP67. Let’s Get FREQy with our Statistics: Data Driven Approach to Determining Appropriate Test Statistic
Richann Watson, DataRich Consulting
SP75. Several methods to test the proportional hazard assumption before applying cox models
Ying Yao, boehringer-ingelheim
SP81. Introduction to iRECIST
Howard Tien, Sanofi