Safety Scientific Working Group

2024

ASA Safety Working Group Quarterly Scientific Webinar – Q4 2024

Agenda

11:00 - 11:05       

Opening/Introduction

11:05 - 11:20    

PHUSE Updates – AE Groupings in Safety (AEGiS) Project Team

 

Mac Gordon and Peg Fletcher

11:20-11:35

Introduction to MedDRA Labeling Grouping (MLG): A Standardized Approach to Grouping Adverse Reactions in Product Safety Labels

 

Radhika Rao and Scott Proestel

11:35-11:50

How the AEGiS White Paper and MLG Recommendations Impact Aggregate Safety Assessment Planning

 

Barbara Hendrickson

11:50 – 12:15     

Panel Discussion

12:15 - 12:25      

Q&A

 

All speakers and panelists

12:25-12:30                

Final Conclusion/Adjourn

Abstract:

The Medical Dictionary for Regulatory Activities (MedDRA) is a standardized collection of highly granular medical terms which facilitates sharing of medical product information internationally.   “Verbatim” adverse event (AE) reports by healthcare providers are coded to “Preferred Terms (PTs)” in MedDRA.   Depending on the wording of the “verbatim” report or due to varying presentations of a diagnosis, AEs which represent a similar medical condition may code to different MedDRA PTs. 

This webinar discusses new recommendations which inform MedDRA PT groupings to support signal detection and evaluation as well as description of a product’s safety profile through labelling.

The AE Groupings in Safety (AEGiS) cross-functional project team within PHUSE’s Safety Analytics Working Group has developed a white paper which discusses the selection and use of published MedDRA queries (e.g. Standardized MedDRA Queries [SMQs], FDA Medical Queries [FMQs]) or, if needed, custom queries for clinical trial safety assessments.

The CIOMS Expert Working Group on MedDRA Labelling Groupings (MLGs) have published consensus recommendations regarding the creation and use of MLGs, in product prescribing information.  The MLGs support a more consistent approach for the description and frequency calculation of suspected adverse reactions from clinical trial data.

An Aggregate Safety Assessment Planning (ASAP) process has been proposed by the American Statistical Association (ASA) Interdisciplinary Safety Evaluation scientific working group. The ASAP is a document internal to a clinical trial sponsor which guides product level safety data collection and analyses in clinical development. The AEGiS white paper and CIOMS MLGs put forth important pertinent recommendations that should be considered when creating the ASAP for a product.

Speakers

Bio

Margaret (Peg) Fletcher, MD, PhD

Margaret (Peg) Fletcher, MD, PhD is an oncologist and clinical pharmacologist with over 25 years’ experience in drug development and safety of oncology, neurology, and metabolic disease products, Dr. Fletcher is an expert in evaluating drug safety data and balancing corporate obligations with patient safety. She has led or supported safety portions of 12+ new or supplemental drug or biologics applications, with FDA approval for 4 new chemical entities and 5 sNDAs.  Peg received her MD & PhD (biochemistry) from the University of Chicago and held executive roles in Oncology, Safety & Pharmacovigilance, and Licensing before founding MedAssessment.

 

Mac Gordon, MS

Mac Gordon, MS, received a Masters in Statistics and graduate certificates in Public Health, Pharmacovigilance and Pharmacoepidemiology. He has been involved in pharmacovigilance, signal detection and safety data visualization for most of his career, including membership and leadership in several multi-disciplinary industry working groups. Currently he is a compound statistical lead at Janssen coordinating across 11 indications and several therapeutic areas. His focus has been late development immunology and clinical trial safety for the past 17 years.  Mac is involved on many internal teams focused on safety statistics and leads process development initiatives, currently the implementation of the ASAP process.

Barbara Hendrickson, MD

Barbara Hendrickson, MD is on faculty at the University of Chicago and a former Vice President of Pharmacovigilance and Patient Safety at AbbVie. She is a physician with subspecialty training in pediatrics and infectious diseases. Dr. Hendrickson has 20 years of pharmaceutical experience and has been involved in multiple product submissions to global health authorities.  She has extensive experience with clinical trial safety planning, monitoring and data assessment. She co-leads the Interdisciplinary Safety Evaluation workstream of the American Statistical Association Biopharm Safety Monitoring Working Group.  She also has authored multiple publications related to clinical trial safety.

Scott Proestel, MD

Scott Proestel, MD, is Vice President of Medical Informatics at Medpace, Inc. He is board certified in Internal Medicine and Clinical Informatics and was an Assistant Professor of Medicine at Georgetown University for three years.  Prior to joining Medpace, he worked at the US FDA for 19 years as a medical officer, team leader, and division director in pre-market and post-market safety, where he also conducted research on the use of artificial intelligence to evaluate spontaneous safety reports and queries using large language models.  He served at the NIH as a Deputy Director and then Director of the Office for Policy in Clinical Research Operations where he oversaw operations for six global clinical trial networks.

Radhika Rao, MD MPH

Radhika Rao, MD, is a Medical Director at AbbVie.  With clinical practice experience over 15 years as an Internist and Spinal cord Injury Medicine specialist, Dr. Rao served veterans at Edward Hines, Jr. Veterans Affairs hospital in Chicago. She also was on faculty as an assistant professor of medicine at Loyola Medical Center and participated in medical education at Loyola. Dr. Rao joined Pharmacovigilance at AbbVie Inc. in 2013 contributing to the safety monitoring of products and MedDRA Management Committee training (maintenance of CMQs with MedDRA versioning etc). Dr. Rao delivers lectures in Pharmacovigilance and actively participates in the CIOMS MedDRA Labeling Expert working Group.

ASA Safety Working Group Quarterly Scientific Webinar – Q3 2024

Agenda

11:00 - 11:05       

Opening/Introduction

11:05 - 11:35     

Data quality issues in clinical development and submissions

 

Veronica Pei (Lieutenant Commander, U.S. Public Health Service; Lead Physician, Associate Director for Biomedical Informatics, CDER, US FDA)

11:35 – 11:45     

Panel Discussion

 

Mike Fries (Head, Biostatistics, CSL Behring)

Jürgen Kübler (Owner, Quantitative Scientific Consultant)

Xiao Ni (Head of DMD Biostatistics, Sarepta Therapeutics)

11:45 - 12:00       

Q&A

 

All speaker and panelists

12:00-12:05                 

Final Conclusion/Adjourn

Abstract:

Identification of drug-induced liver injury (DILI) is hindered by the lack of a structured, standardized approach to its identification and evaluation. This leads to inefficiencies for both sponsors and regulators. Guidance related to data submission for DILI evaluation can improve the efficiency of regulatory review, for example, by reducing the number of information requests sent by the FDA to industry sponsors. Ultimately, improved strategies for DILI data gathering and submission will also improve the accuracy of DILI risk assessment.

 

This webinar will delve into a detailed discussion of the challenges associated with reviewing clinical data and propose potential strategies to enhance data quality and improve efficiency. For instance, the ASA Safety Working Group's ASAP Taskforce has suggested a template for ongoing aggregated safety assessment planning. This template includes sections on identifying safety topics of interest, determining the necessary safety data collection to address those topics, outlining methods for data collection, and strategies for analysis. Sponsors can utilize this template as a guide to identify safety topics and develop strategies and plans for safety data collection and analysis. The Interactive Safety Graphics (ISG) Taskforce developed an interactive eDISH tool and an interactive patient profile app to facilitate sponsors to enhance the ability of identifying DILI cases within the framework of ASAP.

 

By aligning with the suggested template and deploying the interactive tools, employing best practices for proactive planning, data collection and analysis, sponsors can contribute to more effective safety assessment within the clinical research and regulatory context.

Speakers

Bio

Veronica Pei, MD

Dr. Y. Veronica Pei is a commissioned officer in the U.S. Public Health Service currently serving as Lead Physician for the Biomedical Informatics and Regulatory Review Science (BIRRS) team in the Office of New Drugs (OND), FDA.  She is board-certified in emergency medicine and clinical informatics. In her current role, Dr. Pei is serves as subject-matter expert on numerous committees and working groups related to data standards, business informatics, and governance and is involved in development, implementation, and support of bioinformatics initiatives within OND, including the Standard Safety Tables and Figures. She is also FDA’s topic lead for ICH M11 expert working group on the Structure and Content of Clinical Protocols.

Michael Fries, PhD

Mike is currently the head of Biostatistics at CSL Behring, where he has worked for over 9 and half years.  He has nearly 25 years in the industry, having previously worked at GSK and TAP pharmaceuticals. He also spent several years as a visiting Assistant Professor in the School of Computer Science at DePaul University.  He is a member of ASA Safety Scientific Working Group, and has a specific Interest in Quantitative Decision Making in drug development and applications of Bayesian Statistics.

Jürgen Kübler, PhD

Co-Chair of Safety Working Group

Executive consultant at QSciCon

30+ years of experience in drug development with a focus on drug safety

Statistician by training

Xiao Ni, PhD

Xiao Ni is Head of DMD Biostatistics at Sarepta Therapeutics, a biotechnology company based in Cambridge, Massachusetts.  In this capacity, he leads 3 biostatistics teams to support 4 Duchenne developmental programs. He also leads a group of 9 Data Scientists at Sarepta to increase efficiency and enable rapid data insights through modern data science tools & mindset.  He has been a member of the ISG since 2018 and contributed to ISG tool library such as safetyGraphics, qtexplorer, etc. Xiao is passionate about open-source collaboration.

 

ASADIA Safety Working Group Quarterly Scientific Webinar – Q2 2024

Topic:    Benefit Risk Assessment Processes, Visualizations and more (Session 1, AstraZeneca and UCB)

Topic:    Benefit Risk Assessment Processes, Visualizations and more (Session 2, Bayer and GSK)

Agenda (May 22, 2024):

11:00 - 11:05       

Opening/Introduction

11:05 - 11:30      

Structured Benefit-Risk Assessment in AstraZeneca

 

Jiyoon Park, Safety Data Scientist, AstraZeneca

Tim Sullivan, Global Patient Safety, AstraZeneca

11:30 - 11:55       

UCB Benefit-Risk Visualization Dashboard

 

Mike Colopy and Chen Chen

Safety Statistics & Standards Group, UCB Biosciences

11:55 - 12:25     

Panel Discussion

 

Tim Sullivan, Global Patient Safety, AstraZeneca

Robert Massouh, Head of Risk Management and Benefit-Risk Evaluation, GSK

James Higginson, GSK and BRAP co-leader

12:25 - 12:30       

Closing remarks

 

Agenda (June 20, 2024):

11:00 - 11:05       

Opening/Introduction

11:05 - 11:30      

Benefit-Risk assessment using BReasy – an R shiny application for structured benefit-risk assessment

 

Martin Gebel, Bayer

Statistical Expert Safety & Benefit-risk

11:30 - 11:55       

GSK Quantitative Benefit-Risk Assessment in Multiple Myeloma

 

Danaé Williams

Principal Statistician, GSK

11:55 - 12:25     

Panel Discussion

12:25 - 12:30       

Closing remarks

Safety_Working_Group_Scientific_Webinar_Q2_2024.pdf

ASADIA Safety Working Group Quarterly Scientific Webinar – Q1 2024

Summary:

The Interactive Safety Graphics group is a taskforce within the broader American Statistical Association Biopharmaceutical Safety Working Group that is developing graphical tools for the drug safety community. The group is comprised of volunteers from the pharmaceutical industry, regulatory agencies and academia to develop creative and innovative interactive graphical tools following the open source paradigm. A variety of tools for AE and laboratory analyses have already been released as part of the Safety Explorer Suite and the Hepatic Explorer. The ISG group has continued to innovate and three new interactive visualization tools will be the subject of today’s webinar.

The interactive AE volcano plot allows users to view the overall distribution of AEs in a clinical trial using standard (e.g. MedDRA preferred term) or custom (e.g. Gender) categories using a volcano plot similar to proposal by Zink et al. (2013). This tool provides a stand-alone shiny application and flexible shiny modules allowing this tool to be used as a part of more robust safety monitoring framework like the Shiny app from the 'safetyGraphics' R package.

The Renal Explorer empowers clinical trial monitoring of patient kidney function efficiently by graphically displaying two different systems for classifying renal injury: KDIGO criteria and Delta Creatinine. Individual patients can be selected from aggregate displays to further drill down into patient profiles. These profiles display patient lab results over time, focusing on important kidney function and patient health markers like eGFR, serum creatinine, Cystatin C, and urine Albumin/Creatinine. The renal explorer tool can be used as a stand-alone shiny application and is slated to integrate with the safetyGraphics R package framework in 2024.

The {safetyProfile} package contains a shiny app that allows users to view subject-level profile reports for patients participating in clinical trials. The visualizations included in the package present a patient-centric summary of parameter changes over the trial period, including laboratory results, concomitant medications, adverse events along with participant demographics data. The {safetyProfile} can be used as a stand-alone shiny application and at the same time its flexible shiny modules allow the tool to be used as a part of the {safetyGraphics} R package (robust safety monitoring framework).

Agenda:

11:00 - 11:05       

Opening

 

Susan Mayo (Senior Mathematical Statistician, US FDA)

Michelle Zhang (Vice President, AffaMed Therapeutics)

11:05 - 11:15

Introduction

 

James Buchanan (President, Covilance LLC)

11:15 - 11:30     

Interactive Adverse Event (AE) Volcano Plot for Monitoring Clinical Trial Safety

 

Spencer Childress (Sr Manager of Biostatistics, Gilead Sciences)

11:30 - 11:50        

Renal Explorer: Interactive Graphic for Exploring Kidney Function Data in Clinical Trials

 

Preston Burns (Principal Data Scientist, Sarepta Therapeutics)

James Buchanan (President, Covilance LLC)

11:50 - 12:10         

Interactive Safety Profile Shiny Application for Monitoring Clinical Trial Safety

 

Natalia Andriychuk (Statistical Data Scientist, Pfizer)

12:10 - 12:25       

Discussion

 

Cynthia McShea (Senior Director, UCB Biosciences)

12:25 - 12:30       

Final Conclusion

 

Susan Mayo (Senior Mathematical Statistician, US FDA)

Michelle Zhang (Vice President, AffaMed Therapeutics)

 

 

Speakers

Biography

Natalia Andriychuk

Natalia Andriychuk is a Statistical Data Scientist in the R Center of Excellence SWAT (Scientific Workflows and Analytic Tools) team at Pfizer. In her current role, Natalia provides robust technical solutions to business lines across Pfizer utilizing strong technical knowledge of R, R packages, Shiny, and other associated data science and data analytics tools. She develops training on R and associated tools for Pfizer colleagues and helps to build an R community at Pfizer. Natalia is an advocate for the open-source development as she passionately believes in the transformative power of collaborative innovation and knowledge sharing.

 

Dr. James Buchanan

Dr. James Buchanan is presently an independent drug safety consultant. He graduated from the University of California, San Francisco with a PharmD degree in clinical pharmacy. He worked in the area of clinical toxicology at the Bay Area Regional Poison Control Center at San Francisco General Hospital before entering the pharmaceutical industry.  Dr. Buchanan began his industry career at Genentech where he worked for 9 years in the areas of medical information and drug safety in the clinical development department. He subsequently moved to Gilead Sciences to establish a drug safety department. After leaving Gilead Sciences, Dr. Buchanan started the drug safety department at Tularik Inc where he acted as Chief Safety Officer until the company was acquired 5 years later by Amgen. Following the merger with Amgen, he moved to Nuvelo to establish a drug safety department and act as Chief Safety Officer where he also had responsibility for clinical operations, biostatistics and data management.  Dr. Buchanan next served with BioSoteria for 5 years as the head of the medical and safety consulting group, which was subsequently acquired by Dohmen Life Science Services. Dr. Buchanan is currently president of Covilance, LLC, a drug safety consulting service. He is also a co-lead of the American Statistical Association Biopharmaceutical Safety Working Group and is a co-lead on the Interactive Safety Graphics taskforce that is developing novel, open-source interactive graphical tools to identify and evaluate safety issues during drug development.

Preston Burns

Preston Burns is a Principal Data Scientist at Sarepta Therapeutics where he enables interactive safety and efficacy exploration for Pharmacovigilance, Medical Monitoring, and Data Management groups at Sarepta by heading development of R Shiny applications. He is a seasoned visual analytics R and JavaScript developer and has provided statistical and data science consultation to the NIH, USDA, and commercial clients. Currently located in Kentucky, he remains loyal to Carolina basketball but has adopted local customs regarding Bourbon and the use of “bub”.

Spencer Childress

Spencer Childress, a South Carolina native and North Carolina resident, started as a statistical programmer before moving into other areas of data science, like interactive data viz, analysis pipelines, and exploratory data analysis.  His professional principles include data-driven everything, well-organized codebases, and efficient visual design.  Outside of office life Spencer enjoys gardening, gaming, and volleyball.

Cindy McShea

Cindy McShea received a BS in Mathematics from East Carolina University in North Carolina, USA and completed an MPH in Biostatistics from the University of North Carolina at Chapel Hill in North Carolina, USA. Cindy is a senior director of Biostatistics at UCB Biosciences where she leads the Safety Statistics Team within the Biometrics and Quantitative Sciences group. She has over 25 years of experience in the pharmaceutical industry, 20 of which have been spent in statistical and leadership roles within late phase clinical development in neurology and immunology therapeutic areas. She is a contributing member of the Drug Information Association-American Statistical Association Aggregate Safety Assessment Planning Task Force.

 

2023

Safety Working Group Quarterly Scientific Webinar - Q3

Abstract: Recently, CIOMS WG XII Benefit-Risk report was released, outlining the benefit-risk (BR) landscape and promoting the use of a structured BR framework (SBRF) from the beginning and continuously updated and applied throughout the product lifecycle, including key decision-making steps. The report also mentioned the visualization of benefit-risk assessment (BRA) and its importance in the BR process. Members from CIOMS WG XII will provide an overview of this document. Members from BRAP and BRATS will discuss the WG’s deliverables and progress (such as BRAP’s template that is under development), and BRATS efforts and considerations for an R-Shiny based interactive tool. The discussion will be focused on:

1) How BRAP and BRATS efforts align with the CIOMS XII’s work

2) Potential areas for BRAP and BRATS to consider adjustments/improvements based on CIOMS XII and FDA guidance documents

Agenda:

11:00- 11:05       

Opening

 

Susan Mayo (Senior Mathematical Statistician, US FDA)

Mengchun Li (Senior Director, Clinical Research, Merck & Co., Inc.)

11:05-11:35     

CIOMS Working Group (WG) XII Report: Overview and Chapter II-Structured BR approach/framework

 

Hong Yang (Senior Advisor for Benefit-Risk, Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, US FDA)

11:35-12:05        

CIOMS Working Group (WG) XII Report: Chapter III-BR methodology considerations                             

 

Leo Plouffe (Global Patient Safety Head, Gilead)

12:05- 12:15       

Panel Discussion

 

Lisa Rodriguez (Deputy Division Director, DBIX, US FDA)

Mike Colopy (Statistical Safety Scientist, Safety Statistics & Standards Group, UCB)

12:15-12:25        

Q&A

 

All the speakers & panelists

12:25- 12:30       

Final Conclusion/adjourn

 

Susan Mayo (Senior Mathematical Statistician, US FDA)

Mengchun Li (Senior Director, Clinical Research, Merck & Co., Inc.)

 

Speakers

Biography


Dr. Hong Yang

Dr. Hong Yang is a senior advisor on Benefit-Risk in the Office of Biostatistics and Pharmacovigilance, Center for Biologics Evaluation and Research, US Food and Drug Administration. Since joined FDA in 2004, she has led many benefit-risk assessments to inform CBER regulatory decisions.  She has been active in research and collaboration to develop novel benefit-risk approaches, as well as training and outreaching for implementation of FDA benefit-risk framework.  She was a member of FDA Benefit-Risk Guidance Working Group and FDA Benefit-Risk Framework Implementation team. She contributes to CIOMS (COUNCIL FOR INTERNATIONAL ORGANIZATIONS OF MEDICAL SCIENCES) Working Group XII report (CIOMS Working Group XII Benefit-Risk Balance for Medicinal Products). She also actively participates in two American Statistical Association Safety Working Group teams, Benefit-Risk Assessment Planning and Benefit-Risk Assessment Tool Suites. Dr. Yang is also a member of International Society for Pharmacoepidemiology Benefit Risk Assessment, Communication and Evaluation special interest group.


Dr. Leo Plouffe

Dr. Leo Plouffe brings more than 25 years of industry experience. He was most recently at Bayer for more than 12 years, where he held leadership roles within U.S. Medical Affairs before taking on the role of Global Head of Benefit-Risk Management, Pharmacovigilance. In that role, he worked in collaboration with functions across Bayer to implement a new benefit-risk management process across the portfolio and R&D pipeline. Prior to Bayer, Leo was at Eli Lilly for more than 12 years, holding roles of increasing responsibility in both Clinical Development and Medical Affairs across a broad range of therapeutic areas. He started his medical career as a faculty member at the Medical College of Georgia, where he achieved the position of Professor, Section Chief of Reproductive Endocrinology and Genetics.

Leo earned his medical degree and completed residency training in obstetrics and gynecology at McGill University Medical School. He is dual boarded by the American Board of Obstetrics and Gynecology in Obstetrics and Gynecology and Reproductive Endocrinology. He is also a member of the Royal College of Physicians and Surgeons of Canada, Obstetrics and Gynecology. He has authored more than 70 publications in peer-reviewed journals, served as editor of two medical textbooks and contributed to numerous medical chapters and reviews. Leo has been active throughout his career in driving industry standards and currently serves on the Council for International Organizations of Medical Sciences (CIOMS) and is co-chair for the CIOMS XII – Benefit-Risk writing group.

Leo, along with his wife Eve, who is also an ob-gyn surgeon, and their Beauceron Gaston enjoy spending time outdoors and entertaining their friends visiting from across the United States. 


Dr. Lisa Rodriguez

Dr. Lisa R. Rodriguez is the Deputy Division Director of the Division of Biometrics IX, Office of Biostatistics, Center for Drug Evaluation and Research at FDA, supporting hematology products.  She received her Ph.D. degree in Statistics from Cornell University.

 

Prior to joining FDA in 2012, Dr. Rodriguez worked for several years in industry supporting a variety of therapeutic areas, in addition to a research/teaching position at the North Carolina State University Statistics Department and Bioinformatics Research Center.  Her work at FDA has covered issues in oncology, hematology, meta-analyses, benefit-risk evaluations for regulatory decision making, stem cell products, evaluation of biomarker and PRO/COA endpoints, survival analyses, biosimilars and adaptive designs.  She has also participated in several advisory committee preparations, from both industry and FDA perspectives.

 

While at FDA, Dr. Rodriguez also completed the Excellence in Government (EIG) Fellows Leadership Program and Strategic Decision and Risk Management Certification from Stanford University.  She is currently co-leading the Benefit-Risk Assessment Planning (BRAP) Taskforce within the ASA Biopharmaceutical Section Safety Working Group and is part of several internal FDA scientific working groups.


Dr. Mike W. Colopy

Mike W. Colopy, MPH, PhD has supported clinical trials and epidemiological studies since 1982. Viewing life as a series of decisions and positive tradeoffs, Mike’s vision of benefit-risk assessment is to see it extend beyond treatment-level and patient-level assessments for regulatory decisions to the individual patient level for shared doctor-patient decisions in the clinic. This progression is demonstrated in his UCB team’s recent online publication, Planning Benefit‑Risk Assessments Using Visualizations, Therapeutic Innovation & Regulatory Science | Home (springer.com).

 

Workstream 1: Interdisciplinary safety evaluation

  1. Presentation at ISBS Conference (August, 2017)
  2. Invited Session at Joint Statistical Meetings (July, 2017)
    1. Sources of Safety Data and Statistical Strategies for Design and Analysis in Clinical Trials
  3. Two Presentations at DIA Annual Meeting (June, 2017)
    1. Sources of Safety Data and Statistical Strategies for Design and Analysis in Clinical Trials
  4. Invited Session at DIA China Quantitative Sciences Forum (August, 2016)
  5. Session/Panel at the BIOP Regulatory-Industry Statistics Workshop (September, 2016)
  6. Topic-Contributed Session/Panel at Joint Statistical Meetings (August, 2016)
  7. Invited Session at Trends and Innovations in Clinical Trial Statistics Conference (May, 2016)
  8. Session/Panel at the BIOP Regulatory-Industry Statistics Workshop (September, 2015)
  9. Assessing the cardiovascular risk of anti-diabetic therapies in patients with type 2 diabetes mellitus, UNC-Chapel Hill Department of Biostatistics (September, 2015)
  10. Invited Session/Panel at Joint Statistical Meetings (August, 2015)
  11. Invited Session at ISBS Conference (June, 2015)
  12. Invited Session/Panel at SCT Annual Conference (May, 2015)
  13. Assessing the cardiovascular risk of anti-diabetic therapies in patients with type 2 diabetes mellitus, Poster at PSI Annual Meeting (May, 2015)
  14. Invited Session/Panel at SCT/QSPI Conference (December, 2014)
  15. Session at Trends and Innovations in Clinical Trial Statistics Conference (April, 2014)
  16. Poster at the DIA/FDA Statistics Forum (April, 2014)


Workstream 2: Safety statistical methodology



  1. Presentation at ISBS Conference (August, 2017)
  2. Invited Session at Joint Statistical Meetings (July, 2017)
    1. Sources of Safety Data and Statistical Strategies for Design and Analysis in Clinical Trials
  3. Two Presentations at DIA Annual Meeting (June, 2017)
    1. Sources of Safety Data and Statistical Strategies for Design and Analysis in Clinical Trials
  4. Invited Session at DIA China Quantitative Sciences Forum (August, 2016)
  5. Session/Panel at the BIOP Regulatory-Industry Statistics Workshop (September, 2016)
  6. Topic-Contributed Session/Panel at Joint Statistical Meetings (August, 2016)
  7. Invited Session at Trends and Innovations in Clinical Trial Statistics Conference (May, 2016)
  8. Session/Panel at the BIOP Regulatory-Industry Statistics Workshop (September, 2015)
  9. Assessing the cardiovascular risk of anti-diabetic therapies in patients with type 2 diabetes mellitus, UNC-Chapel Hill Department of Biostatistics (September, 2015)
  10. Invited Session/Panel at Joint Statistical Meetings (August, 2015)
  11. Invited Session at ISBS Conference (June, 2015)
  12. Invited Session/Panel at SCT Annual Conference (May, 2015)
  13. Assessing the cardiovascular risk of anti-diabetic therapies in patients with type 2 diabetes mellitus, Poster at PSI Annual Meeting (May, 2015)
  14. Invited Session/Panel at SCT/QSPI Conference (December, 2014)
  15. Session at Trends and Innovations in Clinical Trial Statistics Conference (April, 2014)
  16. Poster at the DIA/FDA Statistics Forum (April, 2014)

Workstream 3: Linking and bridging RWE & RCT for safety decision making



  1. The 7th Symposium on Statistical Innovation for Medical Product Development (March, 2024)
    1. Estimands for Safety Evaluation in RCT and RWE
    2. Introduction to the ICH E9(R1) estimand framework and its use in randomized controlled trial settings
    3. Selected review on the use of estimand attributes in post-marketing safety studies
  2. Tutorial: Likelihood-Based Methods for Continuous Safety Monitoring of Pharmaceutical Products, Deming Conference (December, 2017)
  3. Quantitative Sciences for Safety Monitoring during Clinical Development, Webinar for the Biopharmaceutical Section of the American Statistical Association (October, 2017)
  4. Likelihood Ratio Test on Safety Data at DIA China Quantitative Science Forum (Aug 2017)
  5. Analytical Framework : Safety Assessment Committee in Drug Development at JSM (Aug 2017)
  6. JSM Panel: Quantitative Safety Monitoring: Regulatory Landscape, Statistical Methodology and Cross-Disciplinary Scientific Engagement (August, 2017)
  7. Biopharm Safety Monitoring Working Group: Bayesian and Graphics Approaches Based on Regulatory Guidance at Joint Statistical Meetings (August, 2017)
    1. Enhancing Visual Analytics Approaches in Safety Monitoring (Aug 2017)
    2. Type-1 Error Control in Safety Signal Detection in Clinical Trial Data A Talk from the ASA Biopharm Safety Monitoring Working Group (Aug 2017)
    3. When to alert a Safety Assessment Committee –A Bayesian Approach with Example at JSM (Aug 2017)
    4. Biopharm Safety Monitoring Working Group: Bayesian and Graphics Approaches Based on Regulatory Guidance — Regulatory Discussant (Aug 2017)
  8. Update on progress of ASA Biopharm Safety Monitoring Working Group at International Chinese Statistics Association Applied Statistics Symposium (June, 2017)
  9. Tutorial: Quantitative Sciences for Safety Monitoring during Clinical Development. An ICSA One-day short course from the ASA Biopharm Safety Monitoring Working Group (June, 2017)
  10. Visual Analytics in Safety Monitoring – Beyond the Usual Graphs and Available Tools at Midwest Biopharmaceutical Statistics Workshop (May, 2017)
  11. Global Regulatory Landscape for Safety Monitoring: A Quantitative Perspective on behalf of the ASA Biopharm Safety Monitoring Working Group (April, 2017)
  12. Tutorial: Quantitative Sciences for Safety Monitoring in Clinical Development. Half-day short course at 72nd Annual Deming Conference on Applied Statistics (December, 2016)
  13. DIA All Hands Meeting: Safety Monitoring During Clinical Development (September, 2016)
  14. DIA China: ASA Biopharm's Safety Monitoring working group: Survey of statisticians, thought leaders and regulatory guidance (August, 2016)
  15. ASA Biopharm's Safety Monitoring working group: Survey of statisticians, thought leaders and regulatory guidance at Joint Statistical Meetings (August, 2016)
  16. Safety Monitoring in Clinical Development at DIA Statistics All Hands Webinar (May, 2016)