Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb).
Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
2. Jixian Wang: To use or not to use propensity score matching?
https://onlinelibrary.wiley.com/doi/10.1002/pst.2051
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.
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
|
Speaker |
Biography |
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|
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
|
|
|
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
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|
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Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
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Chair |
Biography |
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|
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
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Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb).
Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
2. Jixian Wang: To use or not to use propensity score matching?
https://onlinelibrary.wiley.com/doi/10.1002/pst.2051
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.
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
|
Speaker |
Biography |
|
|
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
|
|
|
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
|
|
|
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
|
|
Chair |
Biography |
|
|
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
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Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb).
Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
2. Jixian Wang: To use or not to use propensity score matching?
https://onlinelibrary.wiley.com/doi/10.1002/pst.2051
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.
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
|
Speaker |
Biography |
|
|
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
|
|
|
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
|
|
|
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
|
|
Chair |
Biography |
|
|
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
|
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb).
Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
2. Jixian Wang: To use or not to use propensity score matching?
https://onlinelibrary.wiley.com/doi/10.1002/pst.2051
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.
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
|
Speaker |
Biography |
|
|
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
|
|
|
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
|
|
|
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
|
|
Chair |
Biography |
|
|
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
|
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb).
Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
2. Jixian Wang: To use or not to use propensity score matching?
https://onlinelibrary.wiley.com/doi/10.1002/pst.2051
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.
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
|
Speaker |
Biography |
|
|
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
|
|
|
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
|
|
|
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
|
|
Chair |
Biography |
|
|
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
|
Date: Thursday 22nd June 2023
Time: 08:00-09:00 PDT | 11:00-12:00 ET | 16:00-17:00 BST | 17:00-18:00 CEST
Speakers: Dr. Heng Li (FDA), Dr. Lilly Yue (FDA) and Dr. Jason (Jixian) Wang (Bristol Myers Squibb).
Chair: Amy Mulick (Veramed).
Who is this event intended for? Anyone interested in learning more about propensity scores.
What are the benefits of attending? People should attend to learn more about the different techniques and applications propensity scores and the advantages and disadvantages of different methods.
Please join us to hear Dr. Heng Li & Dr. Lilly Yue (FDA), and Dr. Jason (Jixian) Wang (Bristol Myers Squibb) present their recent work.
Presenters and Papers:
1. Heng Li, Lilly Q. Yue: Propensity score-based methods for causal inference and external data leveraging in regulatory settings: From basic ideas to implementation
https://onlinelibrary.wiley.com/doi/10.1002/pst.2294
2. Jixian Wang: To use or not to use propensity score matching?
https://onlinelibrary.wiley.com/doi/10.1002/pst.2051
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.
This event is free to attend for both Members of PSI and Non-Members.
To register, please click here.
|
Speaker |
Biography |
|
|
Dr. Heng Li is a Lead Mathematical Statistician in the Division of Biostatistics, CDRH/FDA. He is instrumental in the establishment and evaluation of policies and procedures to maintain a unified and consistent program for biostatistical aspects of the regulation of medical device. He leads a team of statisticians in technical reviews and research. He has made substantial contributions in advancing regulatory statistics, especially propensity score-based methods, including developing and implementing novel propensity score-based approaches for leveraging real-world evidence to support regulatory decision-making.
|
|
|
Dr. Lilly Yue is a Deputy Director, Division of Biostatistics in the FDA's Center for Devices and Radiological Health, where she oversees statistical reviews of therapeutic and diagnostic medical devices. She has played a key leadership role in advancing regulatory statistics, including efforts on adapting and advancing propensity score methodology for premarket observational studies and on developing and implementing the novel propensity score-integrated approaches for leveraging real-world evidence to support regulatory decision-making. Dr. Yue is an Editor-in-Chief of Pharmaceutical Statistics and served as an Associate Editor (and a Guest Editor) for Journal of Biopharmaceutical Statistics and Pharmaceutical Statistics. She is a Fellow of the American Statistical Association.
|
|
|
Jason (Jixian) Wang is a statistician in Statistical Methodology Group in Bristol Myers Squibb based in Switzerland. He has more than 20 years’ experience in the pharmaceutical industry, has worked in several therapeutic areas such as cardiovascular, oncology, hematology, and cell therapies, and in difference phases including clinical development, in which he did multiple regulatory submissions, as well as pre-clinical statistics, clinical pharmacology, and post-marketing drug safety and HTA. He was an academic researcher in biostatistics and epidemiology before joining the industry. He has a wide range of research interests including casual inference, innovative trial designs, dose optimization, machine learning, and PK/PD and health economics modeling and simulation. He published more than 60 papers, one book and two book chapters. He is a member of the RWD SIG in PSI/EFSPI.
|
|
Chair |
Biography |
|
|
Amy is Head of the Evidence and Value Generation group at Veramed, which generates clinical evidence for pharmaceutical products and medical devices using data collected partially or wholly outside the context of randomised controlled trials. Previously she was based at the London School of Hygiene and Tropical Medicine using the Clinical Practice Research Datalink (CPRD) to research disease epidemiology, and developing a novel cause of death estimation method to cope with sparse data inputs. She has expertise in Bayesian methods for evidence synthesis as well as causal and predictive statistical modelling.
|
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.
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.
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.
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.
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.
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.
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.
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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|---|---|---|---|
| _ga_ | .psiweb.org | 400 days | |
Contains a unique identifier used by Google Analytics 4 to determine that two distinct hits belong to the same user across browsing sessions. | |||
| _ga | .psiweb.org | 400 days | |
Contains a unique identifier used by Google Analytics to determine that two distinct hits belong to the same user across browsing sessions. | |||
