PSI Journal Club: Missing Data

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.

PSI Book Club: Change: How organisations achieve hard-to-image results in uncertain and volatile times

Organizations have to adapt to the transforming landscape of our industry to ensure they continue to be successful in the future. Many of us are feeling the impact of organizational change. By reading John P Kotter’s book we can understand about organizational change and learn how to thrive, rather than just survive, through change. Change, by John P Kotter (and his team), is a summary of all that he has learned over his decades of research and leading change. His book describes why many current approaches to change are inadequate and explains why new solutions need to give people a voice and a role in a new, change-embracing organization. Develop your understanding of organisational change and become empowered to be part of your organisation’s change, by reading Change by John P Kotter and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply knowledge from the book in-between sessions.

PSI Book Club: Another Door Opens – Book Club Special Event

This is a Book Club Special Event in response to the changes in our industry and as a supportive move to create community and connection for those navigating redundancy and uncertainty. Read the book in advance of the book club session then join the zoom call to discuss ideas. There will be breakout groups to connect with others, exchange experiences of how the book has helped, and offer support.

AIMS SIG - Open-Source Lunch Bites

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.

PSI Career Young Virtual Event (Q3 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

PSI Training Course: Propensity Scores: Practical Application in Non-randomised Studies

The course will introduce the topic of propensity scores and the use of external data. Covering the topics of matching and weighting as well as more advance topics of high dimension propensity scores, multi-valued treatments, double robustness and time-varying scenarios. There will be the opportunity to participate in some hands on practical exercises in R.

PSI Training Course: Adaptive Designs

This two-afternoon virtual course provides a practical introduction to adaptive clinical trials, focusing on the concepts, applications, and regulatory principles outlined in ICH E20 through real-world examples and case studies.

PSI Careers - MEDMathS: Medicine Empowered by Data, Maths and Statistics

Date: Wednesday 4th November 2026 A careers talk about medical statistics and how it plays a crucial role in developing new medicines. Learn about the field of medical statistics and how it plays a crucial role in developing groundbreaking new medicines, vaccines and healthcare products.

PSI Medical Statistics Student Careers Event 2026

Date: 18 November 2026 This is an excellent opportunity for students to find out more about the field of medical statistics, talk to people from different organisations and make contacts for the future. All students currently studying for a mathematics or statistics-related BSc, MSc or PhD are invited to attend, and we welcome interest from exhibitors too.

PSI Career Young Virtual Event (Q4 2026)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

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.

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.

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.

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.

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.

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