Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger
You can now register for this event. Registration will close at 12:00 on 14th July 2020.
This webinar is free to attend for Members and Non-Members of PSI.
To register your place, please click here.
For 15 years the scientific literature has repeatedly underlined the important lack of reproducibility and replicability of studies in biomedical research. As a consequence, several scientific organisations (journal, scientific societies, universities, national agencies) have identified some root causes to this issue and proposed good research practices to improve the replicability of the results. The misuse of statistical concepts, from design of studies to analysis of data to decision-making is at the heart of the crisis, even if not the only cause. In this webinar we will explain the how to understand the sequences of issues and how to fix it in order to drastically improve the replicability of the results. Through example the presentation will cover concepts such as OFAT vs DoE, p-values and Bayesian statistics and Power vs Assurance as easy opportunities to improve robustness of decisions.
4 key learnings attendees will take away from this webinar:
Bruno Boulanger, PharmaLex
Bruno Boulanger has 30 years of experience in several areas of pharmaceutical research and industry including discovery, toxicology, CMC and early clinical phases. He holds various positions in Europe and in the USA while working at Eli Lilly and UCB. Bruno is also since 2000 Lecturer at the Université of Liège, in the School of Pharmacy, teaching Design of Experiments and Statistics. He is also a USP Expert, member of the Committee of Experts in Statistics since 2010. Since 2010, Bruno is the Head of Data Science within PharmaLex. Bruno has authored or co-authored more than 100 publications in applied statistics and co-edited one book in Bayesian statistics for pharmaceutical research.
Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger
You can now register for this event. Registration will close at 12:00 on 14th July 2020.
This webinar is free to attend for Members and Non-Members of PSI.
To register your place, please click here.
For 15 years the scientific literature has repeatedly underlined the important lack of reproducibility and replicability of studies in biomedical research. As a consequence, several scientific organisations (journal, scientific societies, universities, national agencies) have identified some root causes to this issue and proposed good research practices to improve the replicability of the results. The misuse of statistical concepts, from design of studies to analysis of data to decision-making is at the heart of the crisis, even if not the only cause. In this webinar we will explain the how to understand the sequences of issues and how to fix it in order to drastically improve the replicability of the results. Through example the presentation will cover concepts such as OFAT vs DoE, p-values and Bayesian statistics and Power vs Assurance as easy opportunities to improve robustness of decisions.
4 key learnings attendees will take away from this webinar:
Bruno Boulanger, PharmaLex
Bruno Boulanger has 30 years of experience in several areas of pharmaceutical research and industry including discovery, toxicology, CMC and early clinical phases. He holds various positions in Europe and in the USA while working at Eli Lilly and UCB. Bruno is also since 2000 Lecturer at the Université of Liège, in the School of Pharmacy, teaching Design of Experiments and Statistics. He is also a USP Expert, member of the Committee of Experts in Statistics since 2010. Since 2010, Bruno is the Head of Data Science within PharmaLex. Bruno has authored or co-authored more than 100 publications in applied statistics and co-edited one book in Bayesian statistics for pharmaceutical research.
Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger
You can now register for this event. Registration will close at 12:00 on 14th July 2020.
This webinar is free to attend for Members and Non-Members of PSI.
To register your place, please click here.
For 15 years the scientific literature has repeatedly underlined the important lack of reproducibility and replicability of studies in biomedical research. As a consequence, several scientific organisations (journal, scientific societies, universities, national agencies) have identified some root causes to this issue and proposed good research practices to improve the replicability of the results. The misuse of statistical concepts, from design of studies to analysis of data to decision-making is at the heart of the crisis, even if not the only cause. In this webinar we will explain the how to understand the sequences of issues and how to fix it in order to drastically improve the replicability of the results. Through example the presentation will cover concepts such as OFAT vs DoE, p-values and Bayesian statistics and Power vs Assurance as easy opportunities to improve robustness of decisions.
4 key learnings attendees will take away from this webinar:
Bruno Boulanger, PharmaLex
Bruno Boulanger has 30 years of experience in several areas of pharmaceutical research and industry including discovery, toxicology, CMC and early clinical phases. He holds various positions in Europe and in the USA while working at Eli Lilly and UCB. Bruno is also since 2000 Lecturer at the Université of Liège, in the School of Pharmacy, teaching Design of Experiments and Statistics. He is also a USP Expert, member of the Committee of Experts in Statistics since 2010. Since 2010, Bruno is the Head of Data Science within PharmaLex. Bruno has authored or co-authored more than 100 publications in applied statistics and co-edited one book in Bayesian statistics for pharmaceutical research.
Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger
You can now register for this event. Registration will close at 12:00 on 14th July 2020.
This webinar is free to attend for Members and Non-Members of PSI.
To register your place, please click here.
For 15 years the scientific literature has repeatedly underlined the important lack of reproducibility and replicability of studies in biomedical research. As a consequence, several scientific organisations (journal, scientific societies, universities, national agencies) have identified some root causes to this issue and proposed good research practices to improve the replicability of the results. The misuse of statistical concepts, from design of studies to analysis of data to decision-making is at the heart of the crisis, even if not the only cause. In this webinar we will explain the how to understand the sequences of issues and how to fix it in order to drastically improve the replicability of the results. Through example the presentation will cover concepts such as OFAT vs DoE, p-values and Bayesian statistics and Power vs Assurance as easy opportunities to improve robustness of decisions.
4 key learnings attendees will take away from this webinar:
Bruno Boulanger, PharmaLex
Bruno Boulanger has 30 years of experience in several areas of pharmaceutical research and industry including discovery, toxicology, CMC and early clinical phases. He holds various positions in Europe and in the USA while working at Eli Lilly and UCB. Bruno is also since 2000 Lecturer at the Université of Liège, in the School of Pharmacy, teaching Design of Experiments and Statistics. He is also a USP Expert, member of the Committee of Experts in Statistics since 2010. Since 2010, Bruno is the Head of Data Science within PharmaLex. Bruno has authored or co-authored more than 100 publications in applied statistics and co-edited one book in Bayesian statistics for pharmaceutical research.
Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger
You can now register for this event. Registration will close at 12:00 on 14th July 2020.
This webinar is free to attend for Members and Non-Members of PSI.
To register your place, please click here.
For 15 years the scientific literature has repeatedly underlined the important lack of reproducibility and replicability of studies in biomedical research. As a consequence, several scientific organisations (journal, scientific societies, universities, national agencies) have identified some root causes to this issue and proposed good research practices to improve the replicability of the results. The misuse of statistical concepts, from design of studies to analysis of data to decision-making is at the heart of the crisis, even if not the only cause. In this webinar we will explain the how to understand the sequences of issues and how to fix it in order to drastically improve the replicability of the results. Through example the presentation will cover concepts such as OFAT vs DoE, p-values and Bayesian statistics and Power vs Assurance as easy opportunities to improve robustness of decisions.
4 key learnings attendees will take away from this webinar:
Bruno Boulanger, PharmaLex
Bruno Boulanger has 30 years of experience in several areas of pharmaceutical research and industry including discovery, toxicology, CMC and early clinical phases. He holds various positions in Europe and in the USA while working at Eli Lilly and UCB. Bruno is also since 2000 Lecturer at the Université of Liège, in the School of Pharmacy, teaching Design of Experiments and Statistics. He is also a USP Expert, member of the Committee of Experts in Statistics since 2010. Since 2010, Bruno is the Head of Data Science within PharmaLex. Bruno has authored or co-authored more than 100 publications in applied statistics and co-edited one book in Bayesian statistics for pharmaceutical research.
Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger
You can now register for this event. Registration will close at 12:00 on 14th July 2020.
This webinar is free to attend for Members and Non-Members of PSI.
To register your place, please click here.
For 15 years the scientific literature has repeatedly underlined the important lack of reproducibility and replicability of studies in biomedical research. As a consequence, several scientific organisations (journal, scientific societies, universities, national agencies) have identified some root causes to this issue and proposed good research practices to improve the replicability of the results. The misuse of statistical concepts, from design of studies to analysis of data to decision-making is at the heart of the crisis, even if not the only cause. In this webinar we will explain the how to understand the sequences of issues and how to fix it in order to drastically improve the replicability of the results. Through example the presentation will cover concepts such as OFAT vs DoE, p-values and Bayesian statistics and Power vs Assurance as easy opportunities to improve robustness of decisions.
4 key learnings attendees will take away from this webinar:
Bruno Boulanger, PharmaLex
Bruno Boulanger has 30 years of experience in several areas of pharmaceutical research and industry including discovery, toxicology, CMC and early clinical phases. He holds various positions in Europe and in the USA while working at Eli Lilly and UCB. Bruno is also since 2000 Lecturer at the Université of Liège, in the School of Pharmacy, teaching Design of Experiments and Statistics. He is also a USP Expert, member of the Committee of Experts in Statistics since 2010. Since 2010, Bruno is the Head of Data Science within PharmaLex. Bruno has authored or co-authored more than 100 publications in applied statistics and co-edited one book in Bayesian statistics for pharmaceutical research.
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.
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.
Date: Tuesday 9th September 2025 Join us to hear Sofia Weigle and Weng-Kee Wong present their recent work.
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.
AI agents are large language models equipped with tools that can autonomously tackle challenging tasks. This talk will explore how generative AI agents can enable biomedical discovery.
The webinar is targeted at statisticians working in the pharmaceutical industry, and the objective is to 1) provide a basic understanding of IV methodology including how it relates to causal inference, and 2) present two inspirational pharma-relevant applications.
The Pre-Clinical Special Interest Group (SIG) Workshop 2025 will take place over two half-days on 7 - 8 October in Verona, Italy, bringing together experts from industry, academia, and regulatory institutions to discuss key challenges and innovations in pre-clinical research.
Four sessions will include ML foundation (including an introduction, data exploration for ML and dimensionality reduction and feature selection), Supervised learning (including support vector machines and model evaluation and interpretation), model optimization and unsupervised learning (including clustering) and advanced topics (including neural networks, deep learning and large language models).
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.
Date: Wednesday 5th November 2025 A careers talk about medical statistics and how it plays a crucial role in developing new medicines
Date: 19 November 2025 This event is aimed at students with an interest in the field of Medical Statistics, for example within pharmaceuticals, healthcare and/or medical research.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
As an Associate Director Biostatistics Early Development, you will be a key member of our biostatistics group, you will play a crucial role in the design, analysis, and interpretation of clinical trials for early development programs.
If you are passionate about biostatistics and real-world data, and are looking for an exciting opportunity to contribute to groundbreaking research, we encourage you to apply.
Are you passionate about making a difference in the world of healthcare? Novartis is seeking a dynamic and experienced professional to join our team in London at The Westworks.
As the Director of HTA Biostatistics & Medical Affairs, you will play a pivotal role in shaping the future of healthcare by providing strategic biostatistical leadership and expertise.
As a Senior Principal Biostatistician, you will be responsible and accountable for all statistical work, both scientific and operational, for one or more assigned clinical trials
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