Here is some further background information about the content and the presenters:
The emerging and merging fields of benefit-risk and health technology assessments
Abstract: Benefit-risk assessments (BRA) focus on clinical aspects of health care products and are often seen as purely regulatory activities, while health technology assessments (HTA) consider a wider range of aspects, but mainly concentrate on economic evaluations. Despite different objectives, the perspectives and requirements of the two domains are becoming more in sync than a decade ago. This is evidenced by the formations of various initiatives to address novel challenges, raising the bar for those directly involved in providing justifiable evidence for decision-making on health technologies for the good of public health. With increasing methodological demands and considerations that are no longer unique to HTA or BRA in regulatory submissions, more issues have surfaced and more questions have been raised. Despite the numerous efforts, the recommendations remain diverse and the efforts remain distinct. The EFSPI/PSI joint working group for BRA and HTA has conducted an extensive review of the initiatives and investigated methodologies to recommend practical approaches to improve HTA with an integrated BRA. We will present an up-to-date review of the outputs from key initiatives focusing on methodologies, and will compare approaches taken by HTA authorities with those taken by the regulatory agencies.
Aboutthepresenter: Jason (Jixian) Wang is a principle statistician at Celgene, with over 25 years of experiences as statistician in a number of areas in pharmaceutical statistics, has published more than 50 peer reviewed papers and a book on exposure-response modeling. He worked on health economics and outcome researches and epidemiology in academic institutes for several years before moving to industry positions supporting clinical pharmacology in Phase I-III trials and regulatory submissions, with a number of successful NDA submissions to the FDA/EMEA . Since 2014, he has been working on health economics and outcomes researches to support global market access. His current interests are on health economics modeling, real world evidence generation and causal inference, and structured benefit-risk and health technology assessments. He is a member of PSI special interest groups for real world data (formally epidemiology), modeling and simulation and health technology assessment (HTA). He is leading a working group on clinical trial extrapolation for HTA, and is a coordinator for the EFSPI joint working group for benefit-risk assessment and HTA.
Benefit-Risk Assessment via Case Studies: Key Considerations and Best Practices
Abstract: The development and implementation of benefit-risk assessment is multi-faceted and should be done throughout the clinical development life cycle. Use of structured benefit-risk framework could enhance regulatory decisions, both in terms of scientific validity and in terms of consistency and transparency to stakeholders. In this talk, we describe two real examples that regulatory agencies considered in benefit-risk evaluations, resulting in different outcomes in their approval and marketing status. These case studies illustrate a few key considerations (i.e subgroup identifications, endpoint selection with important clinical impacts, uncertainty quantification, risk mitigation etc.) for a full benefit-risk evaluation.
Aboutthepresenter: Dr George Quartey is a Strategic Innovation Leader for Safety Risk Management at Roche-Genentech with over 25 years of diverse experience in statistical research, risk-benefit modeling, comparative effectiveness research, evidence synthesis and data Mining. He is currently responsible for leading major innovation and enablement in areas relating to Benefit-Risk Assessment of Medicines, Machine Learning and Predictive Safety Monitoring as well as Safety Strategies for Handling HTA. Dr Quartey published and spoke widely on both theoretical and pragmatic aspects of benefit-risk assessment of medicines and served on several internal and external committees that inform policy on benefit-risk and quantitative safety methods including IMI PROTECT, QSPI Benefit-Risk Working Group and CIOMS X working group on "Evidence Synthesis and Meta-Analysis for Drug Safety". Dr Quartey is currently the co-director of the IMI EU2P program on benefit-risk assessment of medicines.
Here is some further background information about the content and the presenters:
The emerging and merging fields of benefit-risk and health technology assessments
Abstract: Benefit-risk assessments (BRA) focus on clinical aspects of health care products and are often seen as purely regulatory activities, while health technology assessments (HTA) consider a wider range of aspects, but mainly concentrate on economic evaluations. Despite different objectives, the perspectives and requirements of the two domains are becoming more in sync than a decade ago. This is evidenced by the formations of various initiatives to address novel challenges, raising the bar for those directly involved in providing justifiable evidence for decision-making on health technologies for the good of public health. With increasing methodological demands and considerations that are no longer unique to HTA or BRA in regulatory submissions, more issues have surfaced and more questions have been raised. Despite the numerous efforts, the recommendations remain diverse and the efforts remain distinct. The EFSPI/PSI joint working group for BRA and HTA has conducted an extensive review of the initiatives and investigated methodologies to recommend practical approaches to improve HTA with an integrated BRA. We will present an up-to-date review of the outputs from key initiatives focusing on methodologies, and will compare approaches taken by HTA authorities with those taken by the regulatory agencies.
Aboutthepresenter: Jason (Jixian) Wang is a principle statistician at Celgene, with over 25 years of experiences as statistician in a number of areas in pharmaceutical statistics, has published more than 50 peer reviewed papers and a book on exposure-response modeling. He worked on health economics and outcome researches and epidemiology in academic institutes for several years before moving to industry positions supporting clinical pharmacology in Phase I-III trials and regulatory submissions, with a number of successful NDA submissions to the FDA/EMEA . Since 2014, he has been working on health economics and outcomes researches to support global market access. His current interests are on health economics modeling, real world evidence generation and causal inference, and structured benefit-risk and health technology assessments. He is a member of PSI special interest groups for real world data (formally epidemiology), modeling and simulation and health technology assessment (HTA). He is leading a working group on clinical trial extrapolation for HTA, and is a coordinator for the EFSPI joint working group for benefit-risk assessment and HTA.
Benefit-Risk Assessment via Case Studies: Key Considerations and Best Practices
Abstract: The development and implementation of benefit-risk assessment is multi-faceted and should be done throughout the clinical development life cycle. Use of structured benefit-risk framework could enhance regulatory decisions, both in terms of scientific validity and in terms of consistency and transparency to stakeholders. In this talk, we describe two real examples that regulatory agencies considered in benefit-risk evaluations, resulting in different outcomes in their approval and marketing status. These case studies illustrate a few key considerations (i.e subgroup identifications, endpoint selection with important clinical impacts, uncertainty quantification, risk mitigation etc.) for a full benefit-risk evaluation.
Aboutthepresenter: Dr George Quartey is a Strategic Innovation Leader for Safety Risk Management at Roche-Genentech with over 25 years of diverse experience in statistical research, risk-benefit modeling, comparative effectiveness research, evidence synthesis and data Mining. He is currently responsible for leading major innovation and enablement in areas relating to Benefit-Risk Assessment of Medicines, Machine Learning and Predictive Safety Monitoring as well as Safety Strategies for Handling HTA. Dr Quartey published and spoke widely on both theoretical and pragmatic aspects of benefit-risk assessment of medicines and served on several internal and external committees that inform policy on benefit-risk and quantitative safety methods including IMI PROTECT, QSPI Benefit-Risk Working Group and CIOMS X working group on "Evidence Synthesis and Meta-Analysis for Drug Safety". Dr Quartey is currently the co-director of the IMI EU2P program on benefit-risk assessment of medicines.
Here is some further background information about the content and the presenters:
The emerging and merging fields of benefit-risk and health technology assessments
Abstract: Benefit-risk assessments (BRA) focus on clinical aspects of health care products and are often seen as purely regulatory activities, while health technology assessments (HTA) consider a wider range of aspects, but mainly concentrate on economic evaluations. Despite different objectives, the perspectives and requirements of the two domains are becoming more in sync than a decade ago. This is evidenced by the formations of various initiatives to address novel challenges, raising the bar for those directly involved in providing justifiable evidence for decision-making on health technologies for the good of public health. With increasing methodological demands and considerations that are no longer unique to HTA or BRA in regulatory submissions, more issues have surfaced and more questions have been raised. Despite the numerous efforts, the recommendations remain diverse and the efforts remain distinct. The EFSPI/PSI joint working group for BRA and HTA has conducted an extensive review of the initiatives and investigated methodologies to recommend practical approaches to improve HTA with an integrated BRA. We will present an up-to-date review of the outputs from key initiatives focusing on methodologies, and will compare approaches taken by HTA authorities with those taken by the regulatory agencies.
Aboutthepresenter: Jason (Jixian) Wang is a principle statistician at Celgene, with over 25 years of experiences as statistician in a number of areas in pharmaceutical statistics, has published more than 50 peer reviewed papers and a book on exposure-response modeling. He worked on health economics and outcome researches and epidemiology in academic institutes for several years before moving to industry positions supporting clinical pharmacology in Phase I-III trials and regulatory submissions, with a number of successful NDA submissions to the FDA/EMEA . Since 2014, he has been working on health economics and outcomes researches to support global market access. His current interests are on health economics modeling, real world evidence generation and causal inference, and structured benefit-risk and health technology assessments. He is a member of PSI special interest groups for real world data (formally epidemiology), modeling and simulation and health technology assessment (HTA). He is leading a working group on clinical trial extrapolation for HTA, and is a coordinator for the EFSPI joint working group for benefit-risk assessment and HTA.
Benefit-Risk Assessment via Case Studies: Key Considerations and Best Practices
Abstract: The development and implementation of benefit-risk assessment is multi-faceted and should be done throughout the clinical development life cycle. Use of structured benefit-risk framework could enhance regulatory decisions, both in terms of scientific validity and in terms of consistency and transparency to stakeholders. In this talk, we describe two real examples that regulatory agencies considered in benefit-risk evaluations, resulting in different outcomes in their approval and marketing status. These case studies illustrate a few key considerations (i.e subgroup identifications, endpoint selection with important clinical impacts, uncertainty quantification, risk mitigation etc.) for a full benefit-risk evaluation.
Aboutthepresenter: Dr George Quartey is a Strategic Innovation Leader for Safety Risk Management at Roche-Genentech with over 25 years of diverse experience in statistical research, risk-benefit modeling, comparative effectiveness research, evidence synthesis and data Mining. He is currently responsible for leading major innovation and enablement in areas relating to Benefit-Risk Assessment of Medicines, Machine Learning and Predictive Safety Monitoring as well as Safety Strategies for Handling HTA. Dr Quartey published and spoke widely on both theoretical and pragmatic aspects of benefit-risk assessment of medicines and served on several internal and external committees that inform policy on benefit-risk and quantitative safety methods including IMI PROTECT, QSPI Benefit-Risk Working Group and CIOMS X working group on "Evidence Synthesis and Meta-Analysis for Drug Safety". Dr Quartey is currently the co-director of the IMI EU2P program on benefit-risk assessment of medicines.
Here is some further background information about the content and the presenters:
The emerging and merging fields of benefit-risk and health technology assessments
Abstract: Benefit-risk assessments (BRA) focus on clinical aspects of health care products and are often seen as purely regulatory activities, while health technology assessments (HTA) consider a wider range of aspects, but mainly concentrate on economic evaluations. Despite different objectives, the perspectives and requirements of the two domains are becoming more in sync than a decade ago. This is evidenced by the formations of various initiatives to address novel challenges, raising the bar for those directly involved in providing justifiable evidence for decision-making on health technologies for the good of public health. With increasing methodological demands and considerations that are no longer unique to HTA or BRA in regulatory submissions, more issues have surfaced and more questions have been raised. Despite the numerous efforts, the recommendations remain diverse and the efforts remain distinct. The EFSPI/PSI joint working group for BRA and HTA has conducted an extensive review of the initiatives and investigated methodologies to recommend practical approaches to improve HTA with an integrated BRA. We will present an up-to-date review of the outputs from key initiatives focusing on methodologies, and will compare approaches taken by HTA authorities with those taken by the regulatory agencies.
Aboutthepresenter: Jason (Jixian) Wang is a principle statistician at Celgene, with over 25 years of experiences as statistician in a number of areas in pharmaceutical statistics, has published more than 50 peer reviewed papers and a book on exposure-response modeling. He worked on health economics and outcome researches and epidemiology in academic institutes for several years before moving to industry positions supporting clinical pharmacology in Phase I-III trials and regulatory submissions, with a number of successful NDA submissions to the FDA/EMEA . Since 2014, he has been working on health economics and outcomes researches to support global market access. His current interests are on health economics modeling, real world evidence generation and causal inference, and structured benefit-risk and health technology assessments. He is a member of PSI special interest groups for real world data (formally epidemiology), modeling and simulation and health technology assessment (HTA). He is leading a working group on clinical trial extrapolation for HTA, and is a coordinator for the EFSPI joint working group for benefit-risk assessment and HTA.
Benefit-Risk Assessment via Case Studies: Key Considerations and Best Practices
Abstract: The development and implementation of benefit-risk assessment is multi-faceted and should be done throughout the clinical development life cycle. Use of structured benefit-risk framework could enhance regulatory decisions, both in terms of scientific validity and in terms of consistency and transparency to stakeholders. In this talk, we describe two real examples that regulatory agencies considered in benefit-risk evaluations, resulting in different outcomes in their approval and marketing status. These case studies illustrate a few key considerations (i.e subgroup identifications, endpoint selection with important clinical impacts, uncertainty quantification, risk mitigation etc.) for a full benefit-risk evaluation.
Aboutthepresenter: Dr George Quartey is a Strategic Innovation Leader for Safety Risk Management at Roche-Genentech with over 25 years of diverse experience in statistical research, risk-benefit modeling, comparative effectiveness research, evidence synthesis and data Mining. He is currently responsible for leading major innovation and enablement in areas relating to Benefit-Risk Assessment of Medicines, Machine Learning and Predictive Safety Monitoring as well as Safety Strategies for Handling HTA. Dr Quartey published and spoke widely on both theoretical and pragmatic aspects of benefit-risk assessment of medicines and served on several internal and external committees that inform policy on benefit-risk and quantitative safety methods including IMI PROTECT, QSPI Benefit-Risk Working Group and CIOMS X working group on "Evidence Synthesis and Meta-Analysis for Drug Safety". Dr Quartey is currently the co-director of the IMI EU2P program on benefit-risk assessment of medicines.
Here is some further background information about the content and the presenters:
The emerging and merging fields of benefit-risk and health technology assessments
Abstract: Benefit-risk assessments (BRA) focus on clinical aspects of health care products and are often seen as purely regulatory activities, while health technology assessments (HTA) consider a wider range of aspects, but mainly concentrate on economic evaluations. Despite different objectives, the perspectives and requirements of the two domains are becoming more in sync than a decade ago. This is evidenced by the formations of various initiatives to address novel challenges, raising the bar for those directly involved in providing justifiable evidence for decision-making on health technologies for the good of public health. With increasing methodological demands and considerations that are no longer unique to HTA or BRA in regulatory submissions, more issues have surfaced and more questions have been raised. Despite the numerous efforts, the recommendations remain diverse and the efforts remain distinct. The EFSPI/PSI joint working group for BRA and HTA has conducted an extensive review of the initiatives and investigated methodologies to recommend practical approaches to improve HTA with an integrated BRA. We will present an up-to-date review of the outputs from key initiatives focusing on methodologies, and will compare approaches taken by HTA authorities with those taken by the regulatory agencies.
Aboutthepresenter: Jason (Jixian) Wang is a principle statistician at Celgene, with over 25 years of experiences as statistician in a number of areas in pharmaceutical statistics, has published more than 50 peer reviewed papers and a book on exposure-response modeling. He worked on health economics and outcome researches and epidemiology in academic institutes for several years before moving to industry positions supporting clinical pharmacology in Phase I-III trials and regulatory submissions, with a number of successful NDA submissions to the FDA/EMEA . Since 2014, he has been working on health economics and outcomes researches to support global market access. His current interests are on health economics modeling, real world evidence generation and causal inference, and structured benefit-risk and health technology assessments. He is a member of PSI special interest groups for real world data (formally epidemiology), modeling and simulation and health technology assessment (HTA). He is leading a working group on clinical trial extrapolation for HTA, and is a coordinator for the EFSPI joint working group for benefit-risk assessment and HTA.
Benefit-Risk Assessment via Case Studies: Key Considerations and Best Practices
Abstract: The development and implementation of benefit-risk assessment is multi-faceted and should be done throughout the clinical development life cycle. Use of structured benefit-risk framework could enhance regulatory decisions, both in terms of scientific validity and in terms of consistency and transparency to stakeholders. In this talk, we describe two real examples that regulatory agencies considered in benefit-risk evaluations, resulting in different outcomes in their approval and marketing status. These case studies illustrate a few key considerations (i.e subgroup identifications, endpoint selection with important clinical impacts, uncertainty quantification, risk mitigation etc.) for a full benefit-risk evaluation.
Aboutthepresenter: Dr George Quartey is a Strategic Innovation Leader for Safety Risk Management at Roche-Genentech with over 25 years of diverse experience in statistical research, risk-benefit modeling, comparative effectiveness research, evidence synthesis and data Mining. He is currently responsible for leading major innovation and enablement in areas relating to Benefit-Risk Assessment of Medicines, Machine Learning and Predictive Safety Monitoring as well as Safety Strategies for Handling HTA. Dr Quartey published and spoke widely on both theoretical and pragmatic aspects of benefit-risk assessment of medicines and served on several internal and external committees that inform policy on benefit-risk and quantitative safety methods including IMI PROTECT, QSPI Benefit-Risk Working Group and CIOMS X working group on "Evidence Synthesis and Meta-Analysis for Drug Safety". Dr Quartey is currently the co-director of the IMI EU2P program on benefit-risk assessment of medicines.
Here is some further background information about the content and the presenters:
The emerging and merging fields of benefit-risk and health technology assessments
Abstract: Benefit-risk assessments (BRA) focus on clinical aspects of health care products and are often seen as purely regulatory activities, while health technology assessments (HTA) consider a wider range of aspects, but mainly concentrate on economic evaluations. Despite different objectives, the perspectives and requirements of the two domains are becoming more in sync than a decade ago. This is evidenced by the formations of various initiatives to address novel challenges, raising the bar for those directly involved in providing justifiable evidence for decision-making on health technologies for the good of public health. With increasing methodological demands and considerations that are no longer unique to HTA or BRA in regulatory submissions, more issues have surfaced and more questions have been raised. Despite the numerous efforts, the recommendations remain diverse and the efforts remain distinct. The EFSPI/PSI joint working group for BRA and HTA has conducted an extensive review of the initiatives and investigated methodologies to recommend practical approaches to improve HTA with an integrated BRA. We will present an up-to-date review of the outputs from key initiatives focusing on methodologies, and will compare approaches taken by HTA authorities with those taken by the regulatory agencies.
Aboutthepresenter: Jason (Jixian) Wang is a principle statistician at Celgene, with over 25 years of experiences as statistician in a number of areas in pharmaceutical statistics, has published more than 50 peer reviewed papers and a book on exposure-response modeling. He worked on health economics and outcome researches and epidemiology in academic institutes for several years before moving to industry positions supporting clinical pharmacology in Phase I-III trials and regulatory submissions, with a number of successful NDA submissions to the FDA/EMEA . Since 2014, he has been working on health economics and outcomes researches to support global market access. His current interests are on health economics modeling, real world evidence generation and causal inference, and structured benefit-risk and health technology assessments. He is a member of PSI special interest groups for real world data (formally epidemiology), modeling and simulation and health technology assessment (HTA). He is leading a working group on clinical trial extrapolation for HTA, and is a coordinator for the EFSPI joint working group for benefit-risk assessment and HTA.
Benefit-Risk Assessment via Case Studies: Key Considerations and Best Practices
Abstract: The development and implementation of benefit-risk assessment is multi-faceted and should be done throughout the clinical development life cycle. Use of structured benefit-risk framework could enhance regulatory decisions, both in terms of scientific validity and in terms of consistency and transparency to stakeholders. In this talk, we describe two real examples that regulatory agencies considered in benefit-risk evaluations, resulting in different outcomes in their approval and marketing status. These case studies illustrate a few key considerations (i.e subgroup identifications, endpoint selection with important clinical impacts, uncertainty quantification, risk mitigation etc.) for a full benefit-risk evaluation.
Aboutthepresenter: Dr George Quartey is a Strategic Innovation Leader for Safety Risk Management at Roche-Genentech with over 25 years of diverse experience in statistical research, risk-benefit modeling, comparative effectiveness research, evidence synthesis and data Mining. He is currently responsible for leading major innovation and enablement in areas relating to Benefit-Risk Assessment of Medicines, Machine Learning and Predictive Safety Monitoring as well as Safety Strategies for Handling HTA. Dr Quartey published and spoke widely on both theoretical and pragmatic aspects of benefit-risk assessment of medicines and served on several internal and external committees that inform policy on benefit-risk and quantitative safety methods including IMI PROTECT, QSPI Benefit-Risk Working Group and CIOMS X working group on "Evidence Synthesis and Meta-Analysis for Drug Safety". Dr Quartey is currently the co-director of the IMI EU2P program on benefit-risk assessment of medicines.
PSI Introduction to Industry Training (ITIT) Course - 2025/2026
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.
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 Webinar: Atomic Habits - The Science of Getting Your Act Together
The book club’s usual focus is to read and discuss professional development books. In this short format event you can more easily develop you career without the commitment of reading the whole book - simply listen to the 1-hour long podcast before joining the interactive session on 21 May.
PSI Webinar: Methods and tools integrating clinical trial evidence with historical or real-world data, Bayesian borrowing, and causal inference
This webinar is organised by the RWD SIG and the Historical Data SIG. We will review recent methods, applications, and tools of integrating subject-level-data from clinical trial with external data using Bayesian methods and/or causal inference methods.
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 Webinar: Applying the Estimand Framework to Clinical Pharmacology Trials with a Case Study in Bioequivalance
This will be a 45 minute webinar which will explain the topic presented in the published paper, ‘Applying the Estimand Framework to Clinical Pharmacology Trials with a Case Study in Bioequivalance’. There will be 15 minutes for a panel Q&A with some of the authors following the presentation.
PSI Webinar: Methodology and first results of the iRISE (improving Reproducibility In SciencE) consortium
This 1-hour webinar will be an opportunity to hear about the methodology and first results of the iRISE consortium. iRISE is working towards a better understanding of reproducibility and the interventions that work to improve it. At the end of the presentation there will also be the opportunity to ask questions.
One-day PSI/PHUSE Event: Change Management for Moving to R/Open-Source
This one-day event focuses on the comprehensive management of transitioning to R/Open-Source, addressing the challenges and providing actionable insights. Attendees will participate in sessions covering essential topics such as training best practices, creating strategic plans, making the case to senior management, and managing both statistical and programming aspects of the transition.
PSI Book Club - The Art of Explanation: How to Communicate with Clarity and Confidence
Develop your non-technical skills by reading The Art of Explanation by Ros Atkins and joining the Sept-Dec 2025 book club. You will be invited to join facilitated discussions of the concepts and ideas and apply skills from the book in-between sessions.
This course is aimed at biostatisticians with no or some pediatric drug development experience who are interested to further their understanding. We will give you an introduction to the pediatric drug development landscape. This will include identifying the key regulations and processes governing pediatric development, a discussion on the needs and challenges when conducting pediatric research and a focus on the ways to overcome these challenges from a statistical perspective.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
The program will feature insightful sessions led by distinguished invited speakers, alongside a poster session showcasing the latest advancements in the field. Further details will be provided.
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 is an exciting, new opportunity for an experienced Statistician looking to take the next step in their career. Offered as a remote or hybrid position aligned with our site in Harrogate, North Yorkshire.
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