Safety Scientific Working Group

Webinars

ASA Safety Working Group Quarterly Scientific Webinar – Q1 2026 Upcoming

2025
ASA Safety Working Group Quarterly Scientific Webinar – Q1 2025

In the 2025 Q1 scientific webinar, we will present Safety Monitoring (in clinical trials), Quantitative Methods and Tools.

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Time Topic / Speaker
11:00 – 11:05 Opening / Introduction
Rima Izem
11:05 – 11:50
  • Continuous safety information of RCT with blinded treatment information
    Greg Ball & Patrick Schnell
  • Safety Signal Exploration using BDRIBS
    Saurabh Mukhopadhyay & Brian Waterhouse
  • A Bayesian method for safety signal detection in ongoing blinded randomized controlled trials
    Nils Penard
  • An open-source modular approach to Safety Visualization and Analysis
    Dooti Roy & Stefan Doering
  • Meta-analysis of blinded and unblinded studies
    Lian Lin
  • Quantitative Safety Monitoring in Clinical Trials for infrequent events
    Shihua Wen
11:50 – 12:25 Q & A discussion
Moderator: Barbara Hendrickson
Panelists: All speakers
12:25 – 12:30 Closing and next steps

Recording: Watch on YouTube

ASA Safety Working Group Quarterly Scientific Webinar – Q2 2025

In the 2025 Q2 scientific webinar, we are presenting Emerging Tools to Support DILI Assessment in Clinical Trials with Abnormal Baseline Serum Liver Tests or Pre-existing Liver Diseases.

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Date & Time: April 24, 2025 (11:00–12:30 EDT)

Time Topic / Speaker
11:00 – 11:05 Opening / Introduction
James Buchanan, Covilance LLC
11:05 – 12:00 Title: Emerging Tools to Support DILI Assessment in Clinical Trials with Abnormal Baseline Serum Liver Tests or Pre-existing Liver Diseases
Speaker: Paul “Skip” H. Hayashi, MD, MPH, FAASLD
12:00 – 12:25 Panel Discussion
Barbara Hendrickson, University of Chicago
Cindy McShea, UCB Bioscience
12:25 – 12:30 Closing remarks
ASA Safety Working Group Quarterly Scientific Webinar – Q3 2025

In the 2025 Q3 scientific webinar series, we present a two-part program on Reimagining Drug Safety with AI: A Quantitative Leap Forward.

View Flyer (PDF) View Slides – Wei Wang (PDF) View Slides – Sue Lee (PDF)

Part 1: September 9, 2025 (11:00–12:30 EDT)

Part 2: October 7, 2025 (11:00–12:30 EDT)

Topic: Reimagining Drug Safety with AI: A Quantitative Leap Forward (Part 1)

Time Topic / Speaker
11:00 – 11:05 Opening / Introduction
Moderator: Lian Lin (Scholar Rock)
11:05 – 11:25 Title: AI Agents in Quantitative Safety Evaluation
Speaker: Wei Wang (Merck)
11:25 – 11:45 Title: Leveraging Open-Source Tools, Artificial Intelligence, and Large Language Models to Enhance DMC Data Packages
Speaker: Melvin Munsaka (AbbVie)
11:45 – 12:05 Title: AI Automating Multimodal Evidence Integration for Drug Safety Signal Causality Assessment
Speaker: Sue Lee (Takeda)
12:05 – 12:25 Panel Discussion
Panelists: Judy Li (AstraZeneca); Tarek Hammad (Takeda)
12:25 – 12:30 Closing remarks
ASA Safety Working Group Quarterly Scientific Webinar – Q4 2025

In the 2025 Q4 scientific webinar series (Part 2 of the 3-part program on Reimagining Drug Safety with AI: A Quantitative Leap Forward), several FDA post-marketing AI studies will be showcased — including applications of NLP in pharmacovigilance (extracting demographics and outcomes from FAERS narratives, de-duplication), AI to identify outcomes/covariates from EHRs, social-media signal gathering during public-health emergencies, and AI tools for designing and analyzing real-world studies.

View Flyer (PDF) View Slides – Yong Ma (PDF)

Part 2: October 7, 2025 (11:00 – 12:30 EDT)

Topic: Reimagining Drug Safety with AI – A Quantitative Leap Forward (Part 2)

Time (EDT) Topic / Speaker
11:00 – 11:05 Opening / Introduction
Moderator: Lian Lin (Scholar Rock)
11:05 – 11:30 Title: AI in the Post-Marketing Setting
Speaker: Yong Ma (US FDA)
11:30 – 11:55 Title: AI for Design and Analysis of Real-World Studies
Speaker: Xiaoyan Wang (Tulane University)
11:55 – 12:25 Panel Discussion
Panelists: Robert (Bob) Ball (US FDA); Walter Straus (Moderna); William Wang (Merck)
12:25 – 12:30 Closing Remarks
2024
ASA Safety Working Group Quarterly Scientific Webinar – Q1 2024
View Slides (PDF)

Recording: Watch on YouTube

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

Time Topic / Speaker
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 (Cindy) McShea (Senior Director, UCB Biosciences)
12:25 – 12:30 Final Conclusion
Susan Mayo; Michelle Zhang
ASA Safety Working Group Quarterly Scientific Webinar – Q2 2024

Session 1 (May 22, 2024): Benefit–Risk Assessment Processes, Visualizations and more — AstraZeneca & UCB

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Recording: Watch on YouTube

Time Topic / Speaker
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; Chen Chen (Safety Statistics & Standards Group, UCB Biosciences)
11:55 – 12:25 Panel Discussion
Tim Sullivan (AstraZeneca); Robert Massouh (Head of Risk Management & Benefit–Risk Evaluation, GSK); James Higginson (GSK; BRAP co-leader)
12:25 – 12:30 Closing remarks

Session 2 (June 20, 2024): Benefit–Risk Assessment Processes, Visualizations and more — Bayer & GSK

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Recording: Watch on YouTube

Time Topic / Speaker
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 (Statistical Expert, Safety & Benefit–Risk, Bayer)
11:30 – 11:55 GSK Quantitative Benefit–Risk Assessment in Multiple Myeloma
Danaé Williams (Principal Statistician, GSK)
11:55 – 12:25 Panel DiscussionAll speakers
12:25 – 12:30 Closing remarks
ASA Safety Working Group Quarterly Scientific Webinar – Q3 2024

View Flyer (PDF) View Slides (PDF)

Recording: Watch on YouTube

Time Topic / Speaker
11:00 – 11:05 Opening / Introduction
11:05 – 11:35 Data quality issues in clinical development and submissions
Veronica Pei (LCDR, U.S. Public Health Service; Lead Physician & Associate Director for Biomedical Informatics, CDER, FDA)
11:35 – 11:45 Panel Discussion
Mike Fries (Head, Biostatistics, CSL Behring); Jürgen Kübler (Quantitative Scientific Consultant); Xiao Ni (Head of DMD Biostatistics, Sarepta Therapeutics)
11:45 – 12:00 Q&A
All speakers 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, creating inefficiencies for sponsors and regulators. Guidance related to data submission for DILI evaluation can improve regulatory review efficiency—for example, by reducing the number of information requests from FDA to industry sponsors. Ultimately, improved strategies for DILI data gathering and submission will also improve the accuracy of DILI risk assessment.

This webinar discusses challenges in reviewing clinical data and proposes strategies to enhance data quality and efficiency. The ASA Safety Working Group’s ASAP Taskforce suggests a template for ongoing aggregate safety assessment planning, including: identifying safety topics of interest, defining the needed data collection, outlining methods, and detailing analysis strategies. Sponsors can use this template to identify safety topics and develop 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 help sponsors identify DILI cases within the ASAP framework.

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

ASA Safety Working Group Quarterly Scientific Webinar – Q4 2024
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Recording: Watch on YouTube

Time Topic / Speaker
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.

2023
ASADIA Safety Working Group Quarterly Scientific Webinar – Q3 2023

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Recording: Watch on YouTube

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:

  • How BRAP and BRATS efforts align with the CIOMS XII’s work
  • Potential areas for BRAP and BRATS to consider adjustments/improvements based on CIOMS XII and FDA guidance documents

Agenda

Time Topic / Speaker
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, CBER, 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 speakers & panelists
12:25 – 12:30 Final Conclusion / Adjourn
Susan Mayo; Mengchun Li

Presentations

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)
  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)