Date: Thursday 13th November 2025 Time: 16:00-17:00 GMT | 17:00-18:00 CET | 11:00-12:00 EST Presenters: Cesar Torres and Suzie Cro Chair: Kevin Ding Location: Online via Zoom
Who is this event intended for? Anyone interested in hearing more about missing data.
What is the benefit of attending? o gain a better understanding about missing data: tipping point methodology to evaluate sensitivity to potential violations in missing data assumptions and the handling of partially observed trial data after treatment withdrawal.
This event is free to attend for both Members of PSI and Non-Members.
Please join us to hear Cesar Torres (FDA) and Suzie Cro (Imperial College London) present their recent work.
1. Cesar Torres, Gregory Levin, Daniel Rubin, William Koh, Rebecca Chiu, Thomas Permutt: A Tipping Point Method to Evaluate Sensitivity to Potential Violations in Missing Data Assumptions - https://onlinelibrary.wiley.com/doi/10.1002/pst.70002
2. Suzie Cro, James H. Roger, James R. Carpenter: Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference-Base Centred Multiple Imputation - https://onlinelibrary.wiley.com/doi/10.1002/pst.2416
Post presentation discussions to information to follow.
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
The meetings are open to both PSI and non-PSI members
Speaker details
Speaker
Biography
Kevin Ding, Ocular Therapeutix
Kevin completed his graduate studies in biostatistics from University of Massachusetts at Amherst. He has over 16 years experience working as a biostatistician in various pharmaceutical companies, including J&J, Novartis and AstraZeneca. He is currently working as a statistical consultant for Ocular Therapeutix. Kevin's research interests include estimand, missing data imputation and adaptive design. He presented the topic of missing data and estimand in JSM and PSI webinar before. The methods in these presentations were applied and implemented in several phase 3 clinical trials he worked on.
Cesar Torres, FDA
Cesar completed his graduate studies at the University of Washington’s Department of Biostatistics. He now works at the FDA’s Center for Drug Evaluation and Research in the Office of Biostatistics (OB) as the acting team leader for the statistical review team supporting the Division of Rheumatology and Transplant Medicine. He also serves as a member of the OB estimands working group, as well as the chair of the OB missing data working group. Cesar’s research interests include estimands, missing data, the evaluation of safety and benefit-risk, and finite sample properties of select statistical methodologies.
Suzie Cro, Imperial College London
Dr Suzie Cro is Head of Trial Methodology and co-Head of the Statistics section at Imperial Clinical Trials Unit (ICTU), Imperial College London. She has over 15 years’ experience in the design and analysis of clinical trials and other interventional studies across clinical areas including dermatology, musculoskeletal, dementia and opiate addiction. Her core statistical research interests include translating the ICH-E9-R1 addendum on estimands and sensitivity analysis in clinical trials into best practice for researchers and patients and the public, handling missing data and transparency in the statistical analysis of clinical trials. She obtained her PhD in medical statistical from the London School of Hygiene and Tropical Medicine.
Date: Thursday 13th November 2025 Time: 16:00-17:00 GMT | 17:00-18:00 CET | 11:00-12:00 EST Presenters: Cesar Torres and Suzie Cro Chair: Kevin Ding Location: Online via Zoom
Who is this event intended for? Anyone interested in hearing more about missing data.
What is the benefit of attending? o gain a better understanding about missing data: tipping point methodology to evaluate sensitivity to potential violations in missing data assumptions and the handling of partially observed trial data after treatment withdrawal.
This event is free to attend for both Members of PSI and Non-Members.
Please join us to hear Cesar Torres (FDA) and Suzie Cro (Imperial College London) present their recent work.
1. Cesar Torres, Gregory Levin, Daniel Rubin, William Koh, Rebecca Chiu, Thomas Permutt: A Tipping Point Method to Evaluate Sensitivity to Potential Violations in Missing Data Assumptions - https://onlinelibrary.wiley.com/doi/10.1002/pst.70002
2. Suzie Cro, James H. Roger, James R. Carpenter: Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference-Base Centred Multiple Imputation - https://onlinelibrary.wiley.com/doi/10.1002/pst.2416
Post presentation discussions to information to follow.
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
The meetings are open to both PSI and non-PSI members
Speaker details
Speaker
Biography
Kevin Ding, Ocular Therapeutix
Kevin completed his graduate studies in biostatistics from University of Massachusetts at Amherst. He has over 16 years experience working as a biostatistician in various pharmaceutical companies, including J&J, Novartis and AstraZeneca. He is currently working as a statistical consultant for Ocular Therapeutix. Kevin's research interests include estimand, missing data imputation and adaptive design. He presented the topic of missing data and estimand in JSM and PSI webinar before. The methods in these presentations were applied and implemented in several phase 3 clinical trials he worked on.
Cesar Torres, FDA
Cesar completed his graduate studies at the University of Washington’s Department of Biostatistics. He now works at the FDA’s Center for Drug Evaluation and Research in the Office of Biostatistics (OB) as the acting team leader for the statistical review team supporting the Division of Rheumatology and Transplant Medicine. He also serves as a member of the OB estimands working group, as well as the chair of the OB missing data working group. Cesar’s research interests include estimands, missing data, the evaluation of safety and benefit-risk, and finite sample properties of select statistical methodologies.
Suzie Cro, Imperial College London
Dr Suzie Cro is Head of Trial Methodology and co-Head of the Statistics section at Imperial Clinical Trials Unit (ICTU), Imperial College London. She has over 15 years’ experience in the design and analysis of clinical trials and other interventional studies across clinical areas including dermatology, musculoskeletal, dementia and opiate addiction. Her core statistical research interests include translating the ICH-E9-R1 addendum on estimands and sensitivity analysis in clinical trials into best practice for researchers and patients and the public, handling missing data and transparency in the statistical analysis of clinical trials. She obtained her PhD in medical statistical from the London School of Hygiene and Tropical Medicine.
Date: Thursday 13th November 2025 Time: 16:00-17:00 GMT | 17:00-18:00 CET | 11:00-12:00 EST Presenters: Cesar Torres and Suzie Cro Chair: Kevin Ding Location: Online via Zoom
Who is this event intended for? Anyone interested in hearing more about missing data.
What is the benefit of attending? o gain a better understanding about missing data: tipping point methodology to evaluate sensitivity to potential violations in missing data assumptions and the handling of partially observed trial data after treatment withdrawal.
This event is free to attend for both Members of PSI and Non-Members.
Please join us to hear Cesar Torres (FDA) and Suzie Cro (Imperial College London) present their recent work.
1. Cesar Torres, Gregory Levin, Daniel Rubin, William Koh, Rebecca Chiu, Thomas Permutt: A Tipping Point Method to Evaluate Sensitivity to Potential Violations in Missing Data Assumptions - https://onlinelibrary.wiley.com/doi/10.1002/pst.70002
2. Suzie Cro, James H. Roger, James R. Carpenter: Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference-Base Centred Multiple Imputation - https://onlinelibrary.wiley.com/doi/10.1002/pst.2416
Post presentation discussions to information to follow.
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
The meetings are open to both PSI and non-PSI members
Speaker details
Speaker
Biography
Kevin Ding, Ocular Therapeutix
Kevin completed his graduate studies in biostatistics from University of Massachusetts at Amherst. He has over 16 years experience working as a biostatistician in various pharmaceutical companies, including J&J, Novartis and AstraZeneca. He is currently working as a statistical consultant for Ocular Therapeutix. Kevin's research interests include estimand, missing data imputation and adaptive design. He presented the topic of missing data and estimand in JSM and PSI webinar before. The methods in these presentations were applied and implemented in several phase 3 clinical trials he worked on.
Cesar Torres, FDA
Cesar completed his graduate studies at the University of Washington’s Department of Biostatistics. He now works at the FDA’s Center for Drug Evaluation and Research in the Office of Biostatistics (OB) as the acting team leader for the statistical review team supporting the Division of Rheumatology and Transplant Medicine. He also serves as a member of the OB estimands working group, as well as the chair of the OB missing data working group. Cesar’s research interests include estimands, missing data, the evaluation of safety and benefit-risk, and finite sample properties of select statistical methodologies.
Suzie Cro, Imperial College London
Dr Suzie Cro is Head of Trial Methodology and co-Head of the Statistics section at Imperial Clinical Trials Unit (ICTU), Imperial College London. She has over 15 years’ experience in the design and analysis of clinical trials and other interventional studies across clinical areas including dermatology, musculoskeletal, dementia and opiate addiction. Her core statistical research interests include translating the ICH-E9-R1 addendum on estimands and sensitivity analysis in clinical trials into best practice for researchers and patients and the public, handling missing data and transparency in the statistical analysis of clinical trials. She obtained her PhD in medical statistical from the London School of Hygiene and Tropical Medicine.
Date: Thursday 13th November 2025 Time: 16:00-17:00 GMT | 17:00-18:00 CET | 11:00-12:00 EST Presenters: Cesar Torres and Suzie Cro Chair: Kevin Ding Location: Online via Zoom
Who is this event intended for? Anyone interested in hearing more about missing data.
What is the benefit of attending? o gain a better understanding about missing data: tipping point methodology to evaluate sensitivity to potential violations in missing data assumptions and the handling of partially observed trial data after treatment withdrawal.
This event is free to attend for both Members of PSI and Non-Members.
Please join us to hear Cesar Torres (FDA) and Suzie Cro (Imperial College London) present their recent work.
1. Cesar Torres, Gregory Levin, Daniel Rubin, William Koh, Rebecca Chiu, Thomas Permutt: A Tipping Point Method to Evaluate Sensitivity to Potential Violations in Missing Data Assumptions - https://onlinelibrary.wiley.com/doi/10.1002/pst.70002
2. Suzie Cro, James H. Roger, James R. Carpenter: Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference-Base Centred Multiple Imputation - https://onlinelibrary.wiley.com/doi/10.1002/pst.2416
Post presentation discussions to information to follow.
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
The meetings are open to both PSI and non-PSI members
Speaker details
Speaker
Biography
Kevin Ding, Ocular Therapeutix
Kevin completed his graduate studies in biostatistics from University of Massachusetts at Amherst. He has over 16 years experience working as a biostatistician in various pharmaceutical companies, including J&J, Novartis and AstraZeneca. He is currently working as a statistical consultant for Ocular Therapeutix. Kevin's research interests include estimand, missing data imputation and adaptive design. He presented the topic of missing data and estimand in JSM and PSI webinar before. The methods in these presentations were applied and implemented in several phase 3 clinical trials he worked on.
Cesar Torres, FDA
Cesar completed his graduate studies at the University of Washington’s Department of Biostatistics. He now works at the FDA’s Center for Drug Evaluation and Research in the Office of Biostatistics (OB) as the acting team leader for the statistical review team supporting the Division of Rheumatology and Transplant Medicine. He also serves as a member of the OB estimands working group, as well as the chair of the OB missing data working group. Cesar’s research interests include estimands, missing data, the evaluation of safety and benefit-risk, and finite sample properties of select statistical methodologies.
Suzie Cro, Imperial College London
Dr Suzie Cro is Head of Trial Methodology and co-Head of the Statistics section at Imperial Clinical Trials Unit (ICTU), Imperial College London. She has over 15 years’ experience in the design and analysis of clinical trials and other interventional studies across clinical areas including dermatology, musculoskeletal, dementia and opiate addiction. Her core statistical research interests include translating the ICH-E9-R1 addendum on estimands and sensitivity analysis in clinical trials into best practice for researchers and patients and the public, handling missing data and transparency in the statistical analysis of clinical trials. She obtained her PhD in medical statistical from the London School of Hygiene and Tropical Medicine.
Date: Thursday 13th November 2025 Time: 16:00-17:00 GMT | 17:00-18:00 CET | 11:00-12:00 EST Presenters: Cesar Torres and Suzie Cro Chair: Kevin Ding Location: Online via Zoom
Who is this event intended for? Anyone interested in hearing more about missing data.
What is the benefit of attending? o gain a better understanding about missing data: tipping point methodology to evaluate sensitivity to potential violations in missing data assumptions and the handling of partially observed trial data after treatment withdrawal.
This event is free to attend for both Members of PSI and Non-Members.
Please join us to hear Cesar Torres (FDA) and Suzie Cro (Imperial College London) present their recent work.
1. Cesar Torres, Gregory Levin, Daniel Rubin, William Koh, Rebecca Chiu, Thomas Permutt: A Tipping Point Method to Evaluate Sensitivity to Potential Violations in Missing Data Assumptions - https://onlinelibrary.wiley.com/doi/10.1002/pst.70002
2. Suzie Cro, James H. Roger, James R. Carpenter: Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference-Base Centred Multiple Imputation - https://onlinelibrary.wiley.com/doi/10.1002/pst.2416
Post presentation discussions to information to follow.
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
The meetings are open to both PSI and non-PSI members
Speaker details
Speaker
Biography
Kevin Ding, Ocular Therapeutix
Kevin completed his graduate studies in biostatistics from University of Massachusetts at Amherst. He has over 16 years experience working as a biostatistician in various pharmaceutical companies, including J&J, Novartis and AstraZeneca. He is currently working as a statistical consultant for Ocular Therapeutix. Kevin's research interests include estimand, missing data imputation and adaptive design. He presented the topic of missing data and estimand in JSM and PSI webinar before. The methods in these presentations were applied and implemented in several phase 3 clinical trials he worked on.
Cesar Torres, FDA
Cesar completed his graduate studies at the University of Washington’s Department of Biostatistics. He now works at the FDA’s Center for Drug Evaluation and Research in the Office of Biostatistics (OB) as the acting team leader for the statistical review team supporting the Division of Rheumatology and Transplant Medicine. He also serves as a member of the OB estimands working group, as well as the chair of the OB missing data working group. Cesar’s research interests include estimands, missing data, the evaluation of safety and benefit-risk, and finite sample properties of select statistical methodologies.
Suzie Cro, Imperial College London
Dr Suzie Cro is Head of Trial Methodology and co-Head of the Statistics section at Imperial Clinical Trials Unit (ICTU), Imperial College London. She has over 15 years’ experience in the design and analysis of clinical trials and other interventional studies across clinical areas including dermatology, musculoskeletal, dementia and opiate addiction. Her core statistical research interests include translating the ICH-E9-R1 addendum on estimands and sensitivity analysis in clinical trials into best practice for researchers and patients and the public, handling missing data and transparency in the statistical analysis of clinical trials. She obtained her PhD in medical statistical from the London School of Hygiene and Tropical Medicine.
Date: Thursday 13th November 2025 Time: 16:00-17:00 GMT | 17:00-18:00 CET | 11:00-12:00 EST Presenters: Cesar Torres and Suzie Cro Chair: Kevin Ding Location: Online via Zoom
Who is this event intended for? Anyone interested in hearing more about missing data.
What is the benefit of attending? o gain a better understanding about missing data: tipping point methodology to evaluate sensitivity to potential violations in missing data assumptions and the handling of partially observed trial data after treatment withdrawal.
This event is free to attend for both Members of PSI and Non-Members.
Please join us to hear Cesar Torres (FDA) and Suzie Cro (Imperial College London) present their recent work.
1. Cesar Torres, Gregory Levin, Daniel Rubin, William Koh, Rebecca Chiu, Thomas Permutt: A Tipping Point Method to Evaluate Sensitivity to Potential Violations in Missing Data Assumptions - https://onlinelibrary.wiley.com/doi/10.1002/pst.70002
2. Suzie Cro, James H. Roger, James R. Carpenter: Handling Partially Observed Trial Data After Treatment Withdrawal: Introducing Retrieved Dropout Reference-Base Centred Multiple Imputation - https://onlinelibrary.wiley.com/doi/10.1002/pst.2416
Post presentation discussions to information to follow.
PSI Journal Club is sponsored by Wiley. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
Papers will be made available to view prior to the meeting and presentation slides will be available a week before the JC. Journal subscribers can access papers at any time. Audio recordings will be available shortly after the JC to download from the PSI website.
The meetings are open to both PSI and non-PSI members
Speaker details
Speaker
Biography
Kevin Ding, Ocular Therapeutix
Kevin completed his graduate studies in biostatistics from University of Massachusetts at Amherst. He has over 16 years experience working as a biostatistician in various pharmaceutical companies, including J&J, Novartis and AstraZeneca. He is currently working as a statistical consultant for Ocular Therapeutix. Kevin's research interests include estimand, missing data imputation and adaptive design. He presented the topic of missing data and estimand in JSM and PSI webinar before. The methods in these presentations were applied and implemented in several phase 3 clinical trials he worked on.
Cesar Torres, FDA
Cesar completed his graduate studies at the University of Washington’s Department of Biostatistics. He now works at the FDA’s Center for Drug Evaluation and Research in the Office of Biostatistics (OB) as the acting team leader for the statistical review team supporting the Division of Rheumatology and Transplant Medicine. He also serves as a member of the OB estimands working group, as well as the chair of the OB missing data working group. Cesar’s research interests include estimands, missing data, the evaluation of safety and benefit-risk, and finite sample properties of select statistical methodologies.
Suzie Cro, Imperial College London
Dr Suzie Cro is Head of Trial Methodology and co-Head of the Statistics section at Imperial Clinical Trials Unit (ICTU), Imperial College London. She has over 15 years’ experience in the design and analysis of clinical trials and other interventional studies across clinical areas including dermatology, musculoskeletal, dementia and opiate addiction. Her core statistical research interests include translating the ICH-E9-R1 addendum on estimands and sensitivity analysis in clinical trials into best practice for researchers and patients and the public, handling missing data and transparency in the statistical analysis of clinical trials. She obtained her PhD in medical statistical from the London School of Hygiene and Tropical Medicine.
Upcoming Events
PSI Training Course: Effective Leadership – the keys to growing your leadership capabilities
This course will consist of three online half-day workshops. The first will be aimed at building trust, the backbone of leadership and a key to becoming effective. This is key to building a solid foundation.
The second will be on improving communication as a technical leader. This workshop will focus on communication strategies for different stakeholders and will involve tips on effective communication and how to develop the skills of active listening, coaching and what improv can teach us about good communication.
The final workshop will bring these two components together to help leaders become more influential. This will also focus on how to use Steven Covey’s 7-Habits, in particular Habits 4, 5 and 6, which are called the habits of communication.
The workshops will be interactive, allowing you to practice the concepts discussed. There will be plenty of time for questions and discussion. There will also be reflective time where you can think about what you are learning and how you might experiment with it.
PSI Introduction to Industry Training (ITIT) Course - 2026/2027
An introductory course giving an overview of the pharmaceutical industry and the drug development process as a whole, aimed at those with 1-3 years' experience. It comprises of six 2-day sessions covering a range of topics including Research and Development, Toxicology, Data Management and the Role of a CRO, Clinical Trials, Reimbursement, and Marketing.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This webinar brings together three bitesize complementary sessions to help PSI contributors create conference presentations and posters that communicate clearly and inclusively. Participants will explore how to refine their message, prepare materials effectively, and adopt practical habits that support confident, accessible delivery. A focused, supportive session designed to elevate every contribution.
Our monthly webinar series allows attendees to gain practical knowledge and skills in open-source coding and tools, with a focus on applications in the pharmaceutical industry. This month’s session, “Graphics Basics,” will introduce the fundamentals of producing graphics using the ggplot2 package.
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
Join our Health Technology Assessment (HTA) European Special Interest Group (ESIG) for a webinar on the strategic role of statisticians in the Joint Clinical Assessment (JCA). The introduction of the JCA marks a new era for evidence generation and market access in Europe. As HTA requirements become more harmonized and methodologically demanding, the role of statisticians has evolved far beyond data analysis. Today, statistical expertise is central to shaping clinical development strategies, designing robust comparative evidence, and ensuring that submissions withstand the scrutiny of EU-level assessors. In this webinar, we explore how statisticians contribute strategically to successful JCA outcomes.
Statisticians in the Age of AI: On Route to Strategic Partnership
A 90-minute webinar featuring two case studies from Bayer and Roche demonstrating how statisticians successfully integrated into AI programs, followed by interactive discussion on strategies for elevating statistical expertise in the AI era.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
GSK - Statistics Director - Vaccines and Infectious Disease
We are seeking an experienced and visionary Statistics Director to join our Team and lead strategic statistical innovation across GSK’s Vaccines and Infectious Disease portfolio.
As a Senior Biostatistician I at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
As a Statistical Scientist at ICON, you will play a pivotal role in designing and analyzing clinical trials, interpreting complex medical data, and contributing to the advancement of innovative treatments and therapies.
We have an exciting opportunity for an Associate Director, Biostatistics to join a passionate team within Advanced Quantitative Sciences – Full Development.
: We have an exciting opportunity for an Associate Director (AD), Statistical Programming, to join a passionate team within Advanced Quantitative Sciences- Development.
Novartis - Senior Principal Statistical Programmer
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Pierre Fabre - Clinical Development Safety Statistics Expert M/F
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Pierre Fabre - Lead Statistician- Clinical Trials M/F
We are seeking a highly skilled and experienced Lead Statistician in Clinical Trials to join our Biometry Department based in Toulouse (31, Oncopole) or Boulogne (92).
We are looking for Senior Statistical Programmers in the UK to join Veramed, where you'll deliver high-impact programming solutions in an FSP-style capacity, while advancing your career in a supportive, growth-driven environment.