Date: Thursday 10th December 2020
Time: 15:00 - 16:00 GMT
Speaker: Scott Patterson (Sanofi)
Who is this event intended for? Statisticians interested in the statistics of crisis vaccine clinical studies, like those being done for COVID-19.
What is the benefit of attending? Those attending will learn of several statistical observations on crisis vaccine clinical development that are important to an understanding of data generated in COVID-19 vaccine development and other crisis clinical vaccine programs.
You can now register for this event. Registration will close at 12:00 on 9th December 2020.
This event is free of charge to both Members and Non Members of PSI.
To register your place, please click here.
Scott Patterson, Bo Fu, Ya Meng, Fabrice Bailleux, Josh Chen.
Statistical Observations on SARS-CoV-2 & Crisis Vaccine Clinical Testing.
Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years. SARS-CoV-2 and COVID-19 vaccine development is following this traditional development pathway, but accelerated Phase I-II-III clinical programs are being applied (c.f., USA FDA guidances 2020). This is not the first time vaccines have been manufactured and tested quickly to meet a public health crisis (1976, 2009). Selected statistical concepts pertaining to vaccine efficacy and safety, relevant during the design and implementation of such crisis programs, will be discussed.
|
Speaker |
Biography |
|
|
Scott Patterson PhD, PStat is currently the head of Statistical Innovation at Sanofi Pasteur, the vaccines’ division of Sanofi. He and co-author Professor Byron Jones wrote `Bioequivalence and Statistics in Clinical Pharmacology’ now in its second edition. Scott has over 25 years of professional experience in biostatistics, and he and his family reside in Pennsylvania, USA. |
Date: Thursday 10th December 2020
Time: 15:00 - 16:00 GMT
Speaker: Scott Patterson (Sanofi)
Who is this event intended for? Statisticians interested in the statistics of crisis vaccine clinical studies, like those being done for COVID-19.
What is the benefit of attending? Those attending will learn of several statistical observations on crisis vaccine clinical development that are important to an understanding of data generated in COVID-19 vaccine development and other crisis clinical vaccine programs.
You can now register for this event. Registration will close at 12:00 on 9th December 2020.
This event is free of charge to both Members and Non Members of PSI.
To register your place, please click here.
Scott Patterson, Bo Fu, Ya Meng, Fabrice Bailleux, Josh Chen.
Statistical Observations on SARS-CoV-2 & Crisis Vaccine Clinical Testing.
Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years. SARS-CoV-2 and COVID-19 vaccine development is following this traditional development pathway, but accelerated Phase I-II-III clinical programs are being applied (c.f., USA FDA guidances 2020). This is not the first time vaccines have been manufactured and tested quickly to meet a public health crisis (1976, 2009). Selected statistical concepts pertaining to vaccine efficacy and safety, relevant during the design and implementation of such crisis programs, will be discussed.
|
Speaker |
Biography |
|
|
Scott Patterson PhD, PStat is currently the head of Statistical Innovation at Sanofi Pasteur, the vaccines’ division of Sanofi. He and co-author Professor Byron Jones wrote `Bioequivalence and Statistics in Clinical Pharmacology’ now in its second edition. Scott has over 25 years of professional experience in biostatistics, and he and his family reside in Pennsylvania, USA. |
Date: Thursday 10th December 2020
Time: 15:00 - 16:00 GMT
Speaker: Scott Patterson (Sanofi)
Who is this event intended for? Statisticians interested in the statistics of crisis vaccine clinical studies, like those being done for COVID-19.
What is the benefit of attending? Those attending will learn of several statistical observations on crisis vaccine clinical development that are important to an understanding of data generated in COVID-19 vaccine development and other crisis clinical vaccine programs.
You can now register for this event. Registration will close at 12:00 on 9th December 2020.
This event is free of charge to both Members and Non Members of PSI.
To register your place, please click here.
Scott Patterson, Bo Fu, Ya Meng, Fabrice Bailleux, Josh Chen.
Statistical Observations on SARS-CoV-2 & Crisis Vaccine Clinical Testing.
Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years. SARS-CoV-2 and COVID-19 vaccine development is following this traditional development pathway, but accelerated Phase I-II-III clinical programs are being applied (c.f., USA FDA guidances 2020). This is not the first time vaccines have been manufactured and tested quickly to meet a public health crisis (1976, 2009). Selected statistical concepts pertaining to vaccine efficacy and safety, relevant during the design and implementation of such crisis programs, will be discussed.
|
Speaker |
Biography |
|
|
Scott Patterson PhD, PStat is currently the head of Statistical Innovation at Sanofi Pasteur, the vaccines’ division of Sanofi. He and co-author Professor Byron Jones wrote `Bioequivalence and Statistics in Clinical Pharmacology’ now in its second edition. Scott has over 25 years of professional experience in biostatistics, and he and his family reside in Pennsylvania, USA. |
Date: Thursday 10th December 2020
Time: 15:00 - 16:00 GMT
Speaker: Scott Patterson (Sanofi)
Who is this event intended for? Statisticians interested in the statistics of crisis vaccine clinical studies, like those being done for COVID-19.
What is the benefit of attending? Those attending will learn of several statistical observations on crisis vaccine clinical development that are important to an understanding of data generated in COVID-19 vaccine development and other crisis clinical vaccine programs.
You can now register for this event. Registration will close at 12:00 on 9th December 2020.
This event is free of charge to both Members and Non Members of PSI.
To register your place, please click here.
Scott Patterson, Bo Fu, Ya Meng, Fabrice Bailleux, Josh Chen.
Statistical Observations on SARS-CoV-2 & Crisis Vaccine Clinical Testing.
Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years. SARS-CoV-2 and COVID-19 vaccine development is following this traditional development pathway, but accelerated Phase I-II-III clinical programs are being applied (c.f., USA FDA guidances 2020). This is not the first time vaccines have been manufactured and tested quickly to meet a public health crisis (1976, 2009). Selected statistical concepts pertaining to vaccine efficacy and safety, relevant during the design and implementation of such crisis programs, will be discussed.
|
Speaker |
Biography |
|
|
Scott Patterson PhD, PStat is currently the head of Statistical Innovation at Sanofi Pasteur, the vaccines’ division of Sanofi. He and co-author Professor Byron Jones wrote `Bioequivalence and Statistics in Clinical Pharmacology’ now in its second edition. Scott has over 25 years of professional experience in biostatistics, and he and his family reside in Pennsylvania, USA. |
Date: Thursday 10th December 2020
Time: 15:00 - 16:00 GMT
Speaker: Scott Patterson (Sanofi)
Who is this event intended for? Statisticians interested in the statistics of crisis vaccine clinical studies, like those being done for COVID-19.
What is the benefit of attending? Those attending will learn of several statistical observations on crisis vaccine clinical development that are important to an understanding of data generated in COVID-19 vaccine development and other crisis clinical vaccine programs.
You can now register for this event. Registration will close at 12:00 on 9th December 2020.
This event is free of charge to both Members and Non Members of PSI.
To register your place, please click here.
Scott Patterson, Bo Fu, Ya Meng, Fabrice Bailleux, Josh Chen.
Statistical Observations on SARS-CoV-2 & Crisis Vaccine Clinical Testing.
Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years. SARS-CoV-2 and COVID-19 vaccine development is following this traditional development pathway, but accelerated Phase I-II-III clinical programs are being applied (c.f., USA FDA guidances 2020). This is not the first time vaccines have been manufactured and tested quickly to meet a public health crisis (1976, 2009). Selected statistical concepts pertaining to vaccine efficacy and safety, relevant during the design and implementation of such crisis programs, will be discussed.
|
Speaker |
Biography |
|
|
Scott Patterson PhD, PStat is currently the head of Statistical Innovation at Sanofi Pasteur, the vaccines’ division of Sanofi. He and co-author Professor Byron Jones wrote `Bioequivalence and Statistics in Clinical Pharmacology’ now in its second edition. Scott has over 25 years of professional experience in biostatistics, and he and his family reside in Pennsylvania, USA. |
Date: Thursday 10th December 2020
Time: 15:00 - 16:00 GMT
Speaker: Scott Patterson (Sanofi)
Who is this event intended for? Statisticians interested in the statistics of crisis vaccine clinical studies, like those being done for COVID-19.
What is the benefit of attending? Those attending will learn of several statistical observations on crisis vaccine clinical development that are important to an understanding of data generated in COVID-19 vaccine development and other crisis clinical vaccine programs.
You can now register for this event. Registration will close at 12:00 on 9th December 2020.
This event is free of charge to both Members and Non Members of PSI.
To register your place, please click here.
Scott Patterson, Bo Fu, Ya Meng, Fabrice Bailleux, Josh Chen.
Statistical Observations on SARS-CoV-2 & Crisis Vaccine Clinical Testing.
Traditional vaccine clinical development is an undertaking involving meticulous, multiple studies in multiple populations at risk of infection and disease over multiple years. SARS-CoV-2 and COVID-19 vaccine development is following this traditional development pathway, but accelerated Phase I-II-III clinical programs are being applied (c.f., USA FDA guidances 2020). This is not the first time vaccines have been manufactured and tested quickly to meet a public health crisis (1976, 2009). Selected statistical concepts pertaining to vaccine efficacy and safety, relevant during the design and implementation of such crisis programs, will be discussed.
|
Speaker |
Biography |
|
|
Scott Patterson PhD, PStat is currently the head of Statistical Innovation at Sanofi Pasteur, the vaccines’ division of Sanofi. He and co-author Professor Byron Jones wrote `Bioequivalence and Statistics in Clinical Pharmacology’ now in its second edition. Scott has over 25 years of professional experience in biostatistics, and he and his family reside in Pennsylvania, USA. |
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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