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2021-11-12 00:30
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PharmaSUG China is the premier event of the year for statistical programmers, statisticians, data managers, researchers, and others who analyze data in the life sciences. The 2021 conference committee is working hard at planning another fabulous event featuring two days of paper presentations, hands-on workshops, live demonstrations, and much more.

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Schedule
2021-11-12
2021-11-13
2021-11-12
09:00 -12:15
开幕式暨主会场
2021-11-12
09:00-09:30

Opening Session - Dong Guo & Steven Shi

2021-11-12
09:30-10:00

Keynote 1: FDA Study Data Technical Rejection Update (Heather Crandall)

2021-11-12
10:00-10:30

Keynote 2: Moving at the Speed of Science: Lessons Learned in Response to the Covid-19 Pandemic (Patti Compton/Henry Shen)

2021-11-12
10:30-10:45

Morning break

2021-11-12
10:45-11:15

Special presentation 1: Data FAIRification: a foundation for accelerating insight generation (Shuang Li/Li Han of Roche)

2021-11-12
11:15-12:15

Special presentation 2: A Brief Introduction to Natural Language Processing in Healthcare (Xiaohua Li of Zuoyi Tech)

2021-11-12
13:30 -17:05
分会场一 (AD)

Applications Development & Technical Techniques (AD)

2021-11-12
13:30-13:50

AD-03: Data De-identification of Demographic Detail in Adult and Pediatric Study (Huan Lu)

2021-11-12
13:50-14:10

AD-08: Risk of Re-identification Assessment (Lanlan Peng)

2021-11-12
14:10-14:30

AD-14: Development of Integrated Statistical Computing Platform (iSCP) Based on Intelligent Apps (Zhiping Yan)

2021-11-12
14:30-14:50

AD-44: ISPP, an Integrated Statistical Programming Platform to systematically manage study programing environment, program, output, log, lst and more. (Jinling Li)

2021-11-12
14:50-15:10

AD-80: Right Tool for Right Analysis - Optimize Statistical Programming Deliverables Leveraging Multiple Analytical Tools (Chun Yi)

2021-11-12
15:10-15:30

AD-35: CRF Chinese Translation – Mask Plan (Chunpeng Zhao, Liming Xie and Chunling Xu)

2021-11-12
15:30-15:45

Afternoon break

2021-11-12
15:45-16:05

AD-101: Multi-study programming – a best practice outline (Matthew Metherell and Simon Purkess)

2021-11-12
16:05-16:25

AD-67: SDTM ARTs: a CRF-Driven SDTM Automation Tool for Generating aCRF, SDTM Mapping Specification and Programs (Haiqiang Luo, Kaiying Li, Xiaoyi Niu and Xiaoxia Zhou)

2021-11-12
16:25-16:45

AD-11: Auto-annotation in SDTM aCRF Using R Package and SAS (Teresa Tang)

2021-11-12
16:45-17:05

AD-13: A tool to combine TFL outputs (Jason Wang and Yashan Zhou)

2021-11-12
13:30 -17:05
分会场二 (DS)

Data Standards/CDISC and Regulatory Submission (DS)

2021-11-12
13:30-13:50

DS-06: NMPA Data submission requirements and Conformance Check (Victor Wu and Xue Hu)

2021-11-12
13:50-14:10

DS-36: SDTM Annotated CRF Digitalization (Chunpeng Zhao, Mijun Hu, Jiapeng He and Aide Zhou)

2021-11-12
14:10-14:30

DS-07: A Customizable Conformance Check Tool Design (Haiping Yu and Dan Li)

2021-11-12
14:30-14:50

DS-09: SAS Macro Solution for NMPA Submission Data Validation Rules (Ting Sun and Jipian He)

2021-11-12
14:50-15:10

DS-42: Essential project management skill for solving potential risks of electronic study data submission to PMDA (Manabu Uehara and Takashi Kitahara)

2021-11-12
15:10-15:30

DS-100: Introduction to Handling Efficacy Data in CDISC Standard Datasets (Kate Booth)

2021-11-12
15:30-15:45

Afternoon break

2021-11-12
15:45-16:05

DS-47: Challenges and solutions for e-data submission to NMPA under new regulation (Grace Sun)

2021-11-12
16:05-16:25

DS-82: New Tools for aCRF Translation in NMPA Database Preparation (Qingyu Wang and Stanley Wei)

2021-11-12
16:25-16:45

DS-102: A case of mistaken ID: reimagining rescreenings and reenrollments (Matthew Metherell)

2021-11-12
16:45-17:05

DS-83: How to show the specific treatment nicely in the SDTM? (Manxi Chen)

2021-11-12
13:30 -17:05
分会场三 (CC)

Coder's Corner (CC)

2021-11-12
13:30-13:50

CC-85: Dataset Deor: Tips for You to Explore its Mystery in SAS (Yu Cheng)

2021-11-12
13:50-14:10

CC-53: A SAS Macro to Generate Customized Patient Profile Output Simply (Mingyue Zhu)

2021-11-12
14:10-14:30

CC-73: Float-point number and encode in SAS (Weineng Zhou)

2021-11-12
14:30-14:50

CC-81: The Hidden Influence of Program Structure in SAS DATA step (Xiangyu Song)

2021-11-12
14:50-15:10

CC-15: How to Translate RTF Documents (Jundong Ma and Zhiping Yan)

2021-11-12
15:10-15:30

CC-37: Automated Solution to Make an RTF Table Continuous (Danfeng Fu, Qian Wang and Hui Liu)

2021-11-12
15:30-15:45

Afternoon break

2021-11-12
15:45-16:05

CC-76: Estimating Binomial Proportion Confidence Interval with Zero Frequency Response using FREQ Procedure (Linga Reddy Baddam)

2021-11-12
16:05-16:25

CC-04: TFLs Title Check Tool (Beixin Lu)

2021-11-12
16:25-16:45

CC-50: DoseAnalysisUsingConcomitant/Prior Medications(CM) Domain (Wenjun Hu)

2021-11-12
16:45-17:05

CC-59: The Brief Introduction of UTF-8 in SAS (Zijun Li and Xiaodong Shi)

2021-11-12
13:30 -17:05
分会场四 (SR)

Statistics & R (SR)

2021-11-12
13:30-13:50

SR-79: Interactive web widgets and applications in R (Changming Yang)

2021-11-12
13:50-14:10

SR-34: A practical simulation-based method to assess operating characteristics of adaptive design for clinical trial with time-to-event endpoints: A case study in an adaptive population enrichment design with multiple endpoints and sample size re-estimation. (Yang Ding, Chunyan He, Daijing Yuan and Xin Zhang)

2021-11-12
14:10-14:30

SR-38: A novel insight into confirmed Best Overall Response per RECIST 1.1 (Shuangbin Ji)

2021-11-12
14:30-14:50

SR-41: Number of Events Estimation using R step by step (Chunyan He and Liyan Zhao)

2021-11-12
14:50-15:10

SR-52: Sing Old Song in A New Tone: RECIST 1.1 (Han Wang and Jiaqi Wang)

2021-11-12
15:10-15:30

SR-55: Statistical considerations in a case study disrupted by COVID-19 pandemic (Kun Li)

2021-11-12
15:30-15:45

Afternoon break

2021-11-12
15:45-16:05

SR-62: Tips and Tricks: A real case of MI (Multiple Imputation) implementation in SAS (Xianjun Li)

2021-11-12
16:05-16:25

SR-57: BIP: A Powerful Biomarker Interactive Profiler based on R Shiny APP (Miao Yu and Chun Yi)

2021-11-12
16:25-16:45

SR-66: Block Randomization Allocation Tool(BRAT) — An R Shiny App to Support Pre-Clinical Process Automation (Shuo Zhang and Chun Yi)

2021-11-12
16:45-17:05

SR-78: The Application of Reference-Scaled Average Bioequivalence in Bioequivalence Analysis with Highly Variable Drug (Chuying Dai)

2021-11-13
09:00 -11:55
分会场一 (AD)

Applications Development & Technical Techniques (AD)

2021-11-13
09:00-09:20

AD-72: Using R Shiny to Explore Clinical Trial Data (Yaoxian Yuan and Jiaying Wu)

2021-11-13
09:20-09:40

AD-40: Automation for CRF Annotation and Bookmark Generation via Python (Peng Wang and Yiqun Wang)

2021-11-13
09:40-10:00

AD-49: An approach to generate define.xml for submission in China based on Python (Siyi Li)

2021-11-13
10:00-10:20

AD-61: Leveraging Python Streamlit to do project management (Zhiwei Luo)

2021-11-13
10:20-10:35

Morning break

2021-11-13
10:35-10:55

AD-20: Title/footnote Auto Extraction from TLG shell to Program Tracker (Jiapeng He and Tingting Zeng)

2021-11-13
10:55-11:15

AD-32: A Submission Package Translation Toolkit by SAS and Excel VBA (Shijia Wang)

2021-11-13
11:15-11:35

AD-45: Automating SAS EG Integration technologies via Excel VBA (Xiaoyang Yu)

2021-11-13
11:35-11:55

AD-75: Automated Process from aCRF to ADRG for SAS programming with Python and VBA (Weineng Zhou)

2021-11-13
09:00 -11:55
分会场二 (DV)

Data Visulization & Graphics (DV)

2021-11-13
09:00-09:20

DV-05: Review Response Data with an R Shiny App (Hengwei Liu and Fuyuan Pang)

2021-11-13
09:20-09:40

DV-77: Interactive Visual Analysis on Large Screen for Clinical Trials (Gaoyang Li, xiang wang and Xiao Wang)

2021-11-13
09:40-10:00

DV-22: SAS Macro to Derive Integrated PET+CT Response in FDG-avid Lymphoma per Lugano 2014 (Jia Xu, Wenxiao Zhou, Xiaotong Li and Ziwen Tan)

2021-11-13
10:00-10:20

DV-30: Visualization to detect risks of clinical data in Risk-Based Quality Management (Raymone Xu)

2021-11-13
10:20-10:35

Morning break

2021-11-13
10:35-10:55

DV-39: Utilizing Plotly in R to Review Clinical Data with Interactive Plots (Kailu Song)

2021-11-13
10:55-11:15

DV-103: Employing TIBCO Spotfire for clinical data review (Hao Huang)

2021-11-13
11:15-11:35

DV-68: Visualization of Oncology data from Interactive Dashboards (Jie Yue)

2021-11-13
11:35-11:55

DV-21: Modular Programming for Data Visualization (Yuzheng Ou)

2021-11-13
09:00 -11:55
分会场三 (MA)

Management & Career Development (MA)

2021-11-13
09:00-09:40

MA-70: New Opportunities and Challenges for Statistical Programming Job Position in China Bio-Pharma (Yu Cheng and Xin Wang)

2021-11-13
09:40-10:20

MA-88: Statistical Programming – An Evolving Role (Cindy Song)

2021-11-13
10:20-10:35

Morning break

2021-11-13
10:35-11:15

MA-71: Using Strengths to Advance Your Career Development (Wei Diao)

2021-11-13
11:15-11:55

MA-48: Be a digital pioneer — How to develop your career? (Gaoyang Li and Jian Shen)

2021-11-13
09:00 -11:55
分会场四 (DM)

Data Validation & Management (DM)

2021-11-13
09:00-09:20

DM-93: Risk Based Data Management and the Implementation (Xiaodan Qi)

2021-11-13
09:20-09:40

DM-19: One-stop solution using Spotfire for Data Validation (Jiaming Chen)

2021-11-13
09:40-10:00

DM-89: A Live Data Validation Adjustment- Edit Check Optimization (ECO) Initiative in multiple application scenarios (Yi Ji)

2021-11-13
10:00-10:20

DM-92: Target SDV Overview (Yaxi Wang)

2021-11-13
10:20-10:35

Morning break

2021-11-13
10:35-10:55

DM-18: Don’t Panic: A Data Manager’s Guide to SDTM (Lanjin Jin)

2021-11-13
10:55-11:15

DM-94: Get eCRF built fast by using company MDR (Yijie Gu)

2021-11-13
11:15-11:35

DM-16: Quality Management of Critical Data from eDevice in Decentralized Clinical Trial (Yueqing Yvonne Wang and Binqi Ye)

2021-11-13
11:35-11:55

DM-69: Application of JMP Clinical to Oncology Trial Medical Monitoring During COVID-19 (Xiao Huang and Liguo Cheng)

2021-11-13
13:30 -14:30
分会场一 (AD)

Applications Development & Technical Techniques (AD)

2021-11-13
13:30-14:10

AD-58: Tips for Learning Python and Application in Statistical Programming Daily Work (Wei (Tony) Zhang)

2021-11-13
13:30 -14:30
分会场二 (DS)

Data Standards/CDISC and Regulatory Submission (DS)

2021-11-13
13:30-13:50

DS-46: Annotated CRF Submission to NMPA for Foreign Database (Shan Wan)

2021-11-13
13:50-14:10

DS-51: Coding Data Translation Process (Chunling Xu)

2021-11-13
14:10-14:30

DS-33: Consideration and Solutions of Garbled Codes in Multiple Languages Projects (Yi Lu and Shijia Wang)

2021-11-13
13:30 -14:30
分会场三 (CC)

Coder's Corner (CC)

2021-11-13
13:30-13:50

CC-26: Surviving Left Truncation: Number at Risk Calculation for a Specific Timepoint Using SAS (Rolland LUO and Lihua Wu)

2021-11-13
13:50-14:10

CC-65: Customize EXCEL Output (Hui Liu)

2021-11-13
13:30 -14:30
分会场四 (DM)

Data Validation & Management (DM)

2021-11-13
13:30-13:50

DM-10: Easy Clinical Data Monitoring and Case Presentation (Joice Hu and Jialei Zhang)

2021-11-13
13:50-14:10

DM-23: Implementation of Data Cut-Off in Analysis of Oncology Clinical Trials (Shang Shi, Weibin Cai and Zhiping Yan)

2021-11-13
14:10-14:30

DM-28: Raw Data Issue Check Using Call Execute (Lihua Wu and Goldie Guo)

2021-11-13
14:45 -16:30
主会场暨闭幕式
2021-11-13
14:50-15:30

Special Presentation 3: Unveiling Estimand-Estimand X Data Scientist (Leslie Meng of Boehringer-Ingelheim)

2021-11-13
15:30-16:30

Panel Discussion: Opportunities and challenges of statistical programming - Post Pandemics

2021-11-13
16:30-16:45

Closing session - PharmaSUG China 2022

Opening Session - Dong Guo & Steven Shi

Keynote 1: FDA Study Data Technical Rejection Update (Heather Crandall)

Keynote 2: Moving at the Speed of Science: Lessons Learned in Response to the Covid-19 Pandemic (Patti Compton/Henry Shen)

Morning break

Special presentation 1: Data FAIRification: a foundation for accelerating insight generation (Shuang Li/Li Han of Roche)

Special presentation 2: A Brief Introduction to Natural Language Processing in Healthcare (Xiaohua Li of Zuoyi Tech)

AD-03: Data De-identification of Demographic Detail in Adult and Pediatric Study (Huan Lu)

AD-08: Risk of Re-identification Assessment (Lanlan Peng)

AD-14: Development of Integrated Statistical Computing Platform (iSCP) Based on Intelligent Apps (Zhiping Yan)

AD-44: ISPP, an Integrated Statistical Programming Platform to systematically manage study programing environment, program, output, log, lst and more. (Jinling Li)

AD-80: Right Tool for Right Analysis - Optimize Statistical Programming Deliverables Leveraging Multiple Analytical Tools (Chun Yi)

AD-35: CRF Chinese Translation – Mask Plan (Chunpeng Zhao, Liming Xie and Chunling Xu)

Afternoon break

AD-101: Multi-study programming – a best practice outline (Matthew Metherell and Simon Purkess)

AD-67: SDTM ARTs: a CRF-Driven SDTM Automation Tool for Generating aCRF, SDTM Mapping Specification and Programs (Haiqiang Luo, Kaiying Li, Xiaoyi Niu and Xiaoxia Zhou)

AD-11: Auto-annotation in SDTM aCRF Using R Package and SAS (Teresa Tang)

AD-13: A tool to combine TFL outputs (Jason Wang and Yashan Zhou)

DS-06: NMPA Data submission requirements and Conformance Check (Victor Wu and Xue Hu)

DS-36: SDTM Annotated CRF Digitalization (Chunpeng Zhao, Mijun Hu, Jiapeng He and Aide Zhou)

DS-07: A Customizable Conformance Check Tool Design (Haiping Yu and Dan Li)

DS-09: SAS Macro Solution for NMPA Submission Data Validation Rules (Ting Sun and Jipian He)

DS-42: Essential project management skill for solving potential risks of electronic study data submission to PMDA (Manabu Uehara and Takashi Kitahara)

DS-100: Introduction to Handling Efficacy Data in CDISC Standard Datasets (Kate Booth)

Afternoon break

DS-47: Challenges and solutions for e-data submission to NMPA under new regulation (Grace Sun)

DS-82: New Tools for aCRF Translation in NMPA Database Preparation (Qingyu Wang and Stanley Wei)

DS-102: A case of mistaken ID: reimagining rescreenings and reenrollments (Matthew Metherell)

DS-83: How to show the specific treatment nicely in the SDTM? (Manxi Chen)

CC-85: Dataset Deor: Tips for You to Explore its Mystery in SAS (Yu Cheng)

CC-53: A SAS Macro to Generate Customized Patient Profile Output Simply (Mingyue Zhu)

CC-73: Float-point number and encode in SAS (Weineng Zhou)

CC-81: The Hidden Influence of Program Structure in SAS DATA step (Xiangyu Song)

CC-15: How to Translate RTF Documents (Jundong Ma and Zhiping Yan)

CC-37: Automated Solution to Make an RTF Table Continuous (Danfeng Fu, Qian Wang and Hui Liu)

Afternoon break

CC-76: Estimating Binomial Proportion Confidence Interval with Zero Frequency Response using FREQ Procedure (Linga Reddy Baddam)

CC-04: TFLs Title Check Tool (Beixin Lu)

CC-50: DoseAnalysisUsingConcomitant/Prior Medications(CM) Domain (Wenjun Hu)

CC-59: The Brief Introduction of UTF-8 in SAS (Zijun Li and Xiaodong Shi)

SR-79: Interactive web widgets and applications in R (Changming Yang)

SR-34: A practical simulation-based method to assess operating characteristics of adaptive design for clinical trial with time-to-event endpoints: A case study in an adaptive population enrichment design with multiple endpoints and sample size re-estimation. (Yang Ding, Chunyan He, Daijing Yuan and Xin Zhang)

SR-38: A novel insight into confirmed Best Overall Response per RECIST 1.1 (Shuangbin Ji)

SR-41: Number of Events Estimation using R step by step (Chunyan He and Liyan Zhao)

SR-52: Sing Old Song in A New Tone: RECIST 1.1 (Han Wang and Jiaqi Wang)

SR-55: Statistical considerations in a case study disrupted by COVID-19 pandemic (Kun Li)

Afternoon break

SR-62: Tips and Tricks: A real case of MI (Multiple Imputation) implementation in SAS (Xianjun Li)

SR-57: BIP: A Powerful Biomarker Interactive Profiler based on R Shiny APP (Miao Yu and Chun Yi)

SR-66: Block Randomization Allocation Tool(BRAT) — An R Shiny App to Support Pre-Clinical Process Automation (Shuo Zhang and Chun Yi)

SR-78: The Application of Reference-Scaled Average Bioequivalence in Bioequivalence Analysis with Highly Variable Drug (Chuying Dai)

AD-72: Using R Shiny to Explore Clinical Trial Data (Yaoxian Yuan and Jiaying Wu)

AD-40: Automation for CRF Annotation and Bookmark Generation via Python (Peng Wang and Yiqun Wang)

AD-49: An approach to generate define.xml for submission in China based on Python (Siyi Li)

AD-61: Leveraging Python Streamlit to do project management (Zhiwei Luo)

Morning break

AD-20: Title/footnote Auto Extraction from TLG shell to Program Tracker (Jiapeng He and Tingting Zeng)

AD-32: A Submission Package Translation Toolkit by SAS and Excel VBA (Shijia Wang)

AD-45: Automating SAS EG Integration technologies via Excel VBA (Xiaoyang Yu)

AD-75: Automated Process from aCRF to ADRG for SAS programming with Python and VBA (Weineng Zhou)

DV-05: Review Response Data with an R Shiny App (Hengwei Liu and Fuyuan Pang)

DV-77: Interactive Visual Analysis on Large Screen for Clinical Trials (Gaoyang Li, xiang wang and Xiao Wang)

DV-22: SAS Macro to Derive Integrated PET+CT Response in FDG-avid Lymphoma per Lugano 2014 (Jia Xu, Wenxiao Zhou, Xiaotong Li and Ziwen Tan)

DV-30: Visualization to detect risks of clinical data in Risk-Based Quality Management (Raymone Xu)

Morning break

DV-39: Utilizing Plotly in R to Review Clinical Data with Interactive Plots (Kailu Song)

DV-103: Employing TIBCO Spotfire for clinical data review (Hao Huang)

DV-68: Visualization of Oncology data from Interactive Dashboards (Jie Yue)

DV-21: Modular Programming for Data Visualization (Yuzheng Ou)

MA-70: New Opportunities and Challenges for Statistical Programming Job Position in China Bio-Pharma (Yu Cheng and Xin Wang)

MA-88: Statistical Programming – An Evolving Role (Cindy Song)

Morning break

MA-71: Using Strengths to Advance Your Career Development (Wei Diao)

MA-48: Be a digital pioneer — How to develop your career? (Gaoyang Li and Jian Shen)

DM-93: Risk Based Data Management and the Implementation (Xiaodan Qi)

DM-19: One-stop solution using Spotfire for Data Validation (Jiaming Chen)

DM-89: A Live Data Validation Adjustment- Edit Check Optimization (ECO) Initiative in multiple application scenarios (Yi Ji)

DM-92: Target SDV Overview (Yaxi Wang)

Morning break

DM-18: Don’t Panic: A Data Manager’s Guide to SDTM (Lanjin Jin)

DM-94: Get eCRF built fast by using company MDR (Yijie Gu)

DM-16: Quality Management of Critical Data from eDevice in Decentralized Clinical Trial (Yueqing Yvonne Wang and Binqi Ye)

DM-69: Application of JMP Clinical to Oncology Trial Medical Monitoring During COVID-19 (Xiao Huang and Liguo Cheng)

AD-58: Tips for Learning Python and Application in Statistical Programming Daily Work (Wei (Tony) Zhang)

DS-46: Annotated CRF Submission to NMPA for Foreign Database (Shan Wan)

DS-51: Coding Data Translation Process (Chunling Xu)

DS-33: Consideration and Solutions of Garbled Codes in Multiple Languages Projects (Yi Lu and Shijia Wang)

CC-26: Surviving Left Truncation: Number at Risk Calculation for a Specific Timepoint Using SAS (Rolland LUO and Lihua Wu)

CC-65: Customize EXCEL Output (Hui Liu)

DM-10: Easy Clinical Data Monitoring and Case Presentation (Joice Hu and Jialei Zhang)

DM-23: Implementation of Data Cut-Off in Analysis of Oncology Clinical Trials (Shang Shi, Weibin Cai and Zhiping Yan)

DM-28: Raw Data Issue Check Using Call Execute (Lihua Wu and Goldie Guo)

Special Presentation 3: Unveiling Estimand-Estimand X Data Scientist (Leslie Meng of Boehringer-Ingelheim)

Panel Discussion: Opportunities and challenges of statistical programming - Post Pandemics

Closing session - PharmaSUG China 2022

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