Past PSI Events

Conferences

PSI ToxSIG Webinar: Good statistical practices to tackle the lack of reproducibility in preclinical research

Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger

Registration:

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.

Overview:

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:

  • The value of good design of experiments
  • Consider Bayesian statistics to answer your question
  • P-values is not always what you’re looking for
  • Adopt a life-cycle over the long-run, not just study by study

Speaker Details:

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.

Scientific Meetings

PSI ToxSIG Webinar: Good statistical practices to tackle the lack of reproducibility in preclinical research

Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger

Registration:

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.

Overview:

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:

  • The value of good design of experiments
  • Consider Bayesian statistics to answer your question
  • P-values is not always what you’re looking for
  • Adopt a life-cycle over the long-run, not just study by study

Speaker Details:

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.

Training Courses

PSI ToxSIG Webinar: Good statistical practices to tackle the lack of reproducibility in preclinical research

Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger

Registration:

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.

Overview:

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:

  • The value of good design of experiments
  • Consider Bayesian statistics to answer your question
  • P-values is not always what you’re looking for
  • Adopt a life-cycle over the long-run, not just study by study

Speaker Details:

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.

Journal Club

PSI ToxSIG Webinar: Good statistical practices to tackle the lack of reproducibility in preclinical research

Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger

Registration:

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.

Overview:

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:

  • The value of good design of experiments
  • Consider Bayesian statistics to answer your question
  • P-values is not always what you’re looking for
  • Adopt a life-cycle over the long-run, not just study by study

Speaker Details:

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.

Webinars

PSI ToxSIG Webinar: Good statistical practices to tackle the lack of reproducibility in preclinical research

Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger

Registration:

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.

Overview:

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:

  • The value of good design of experiments
  • Consider Bayesian statistics to answer your question
  • P-values is not always what you’re looking for
  • Adopt a life-cycle over the long-run, not just study by study

Speaker Details:

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.

Careers Meetings

PSI ToxSIG Webinar: Good statistical practices to tackle the lack of reproducibility in preclinical research

Date: Wednesday 15th July 2020
Time: 14:00 - 15:00 (BST)
Speakers: Bruno Boulanger

Registration:

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.

Overview:

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:

  • The value of good design of experiments
  • Consider Bayesian statistics to answer your question
  • P-values is not always what you’re looking for
  • Adopt a life-cycle over the long-run, not just study by study

Speaker Details:

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.

Upcoming Events

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 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 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.

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Principal Statistician - Labcorp

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.