Across a range of scientific disciplines, concerns have been raised about the reproducibility of research findings. This has generally been considered to be a bad thing.
Certainly, some of the failure to replicate key findings is due to poor experimental design, underpowered experiments and poor reporting of neutral or negative studies or inconvenient outcomes. To the extent that these problems might be addresses, they represent an opportunity for improvement, an opportunity to reduce research waste.
However, in other situations it appears that the failure to replicate may have been due to the influence of some latent nuisance variable, present in one lab but not another, which had a biological effect on the phenomenon being tested. Understanding better the nature of these variables, and how their influence is made manifest, provides opportunities for deeper biological understanding.
Malcolm Macleod will discuss issues of research waste; of replication; and of how these issues might be harnessed to improve research.
Biography
Malcolm Macleod is a clinician scientist and neurologist who is concerned with how we might increase the value of biomedical research, both through improving the quality of primary research and through better exploitation of what is already known.
Registration
This webinar is free to attend.
Registration is now closed.
Scientific Meetings
PSI Toxicology SIG Webinar - Data Quality and Reproducibility in Preclinical Research
Across a range of scientific disciplines, concerns have been raised about the reproducibility of research findings. This has generally been considered to be a bad thing.
Certainly, some of the failure to replicate key findings is due to poor experimental design, underpowered experiments and poor reporting of neutral or negative studies or inconvenient outcomes. To the extent that these problems might be addresses, they represent an opportunity for improvement, an opportunity to reduce research waste.
However, in other situations it appears that the failure to replicate may have been due to the influence of some latent nuisance variable, present in one lab but not another, which had a biological effect on the phenomenon being tested. Understanding better the nature of these variables, and how their influence is made manifest, provides opportunities for deeper biological understanding.
Malcolm Macleod will discuss issues of research waste; of replication; and of how these issues might be harnessed to improve research.
Biography
Malcolm Macleod is a clinician scientist and neurologist who is concerned with how we might increase the value of biomedical research, both through improving the quality of primary research and through better exploitation of what is already known.
Registration
This webinar is free to attend.
Registration is now closed.
Training Courses
PSI Toxicology SIG Webinar - Data Quality and Reproducibility in Preclinical Research
Across a range of scientific disciplines, concerns have been raised about the reproducibility of research findings. This has generally been considered to be a bad thing.
Certainly, some of the failure to replicate key findings is due to poor experimental design, underpowered experiments and poor reporting of neutral or negative studies or inconvenient outcomes. To the extent that these problems might be addresses, they represent an opportunity for improvement, an opportunity to reduce research waste.
However, in other situations it appears that the failure to replicate may have been due to the influence of some latent nuisance variable, present in one lab but not another, which had a biological effect on the phenomenon being tested. Understanding better the nature of these variables, and how their influence is made manifest, provides opportunities for deeper biological understanding.
Malcolm Macleod will discuss issues of research waste; of replication; and of how these issues might be harnessed to improve research.
Biography
Malcolm Macleod is a clinician scientist and neurologist who is concerned with how we might increase the value of biomedical research, both through improving the quality of primary research and through better exploitation of what is already known.
Registration
This webinar is free to attend.
Registration is now closed.
Journal Club
PSI Toxicology SIG Webinar - Data Quality and Reproducibility in Preclinical Research
Across a range of scientific disciplines, concerns have been raised about the reproducibility of research findings. This has generally been considered to be a bad thing.
Certainly, some of the failure to replicate key findings is due to poor experimental design, underpowered experiments and poor reporting of neutral or negative studies or inconvenient outcomes. To the extent that these problems might be addresses, they represent an opportunity for improvement, an opportunity to reduce research waste.
However, in other situations it appears that the failure to replicate may have been due to the influence of some latent nuisance variable, present in one lab but not another, which had a biological effect on the phenomenon being tested. Understanding better the nature of these variables, and how their influence is made manifest, provides opportunities for deeper biological understanding.
Malcolm Macleod will discuss issues of research waste; of replication; and of how these issues might be harnessed to improve research.
Biography
Malcolm Macleod is a clinician scientist and neurologist who is concerned with how we might increase the value of biomedical research, both through improving the quality of primary research and through better exploitation of what is already known.
Registration
This webinar is free to attend.
Registration is now closed.
Webinars
PSI Toxicology SIG Webinar - Data Quality and Reproducibility in Preclinical Research
Across a range of scientific disciplines, concerns have been raised about the reproducibility of research findings. This has generally been considered to be a bad thing.
Certainly, some of the failure to replicate key findings is due to poor experimental design, underpowered experiments and poor reporting of neutral or negative studies or inconvenient outcomes. To the extent that these problems might be addresses, they represent an opportunity for improvement, an opportunity to reduce research waste.
However, in other situations it appears that the failure to replicate may have been due to the influence of some latent nuisance variable, present in one lab but not another, which had a biological effect on the phenomenon being tested. Understanding better the nature of these variables, and how their influence is made manifest, provides opportunities for deeper biological understanding.
Malcolm Macleod will discuss issues of research waste; of replication; and of how these issues might be harnessed to improve research.
Biography
Malcolm Macleod is a clinician scientist and neurologist who is concerned with how we might increase the value of biomedical research, both through improving the quality of primary research and through better exploitation of what is already known.
Registration
This webinar is free to attend.
Registration is now closed.
Careers Meetings
PSI Toxicology SIG Webinar - Data Quality and Reproducibility in Preclinical Research
Across a range of scientific disciplines, concerns have been raised about the reproducibility of research findings. This has generally been considered to be a bad thing.
Certainly, some of the failure to replicate key findings is due to poor experimental design, underpowered experiments and poor reporting of neutral or negative studies or inconvenient outcomes. To the extent that these problems might be addresses, they represent an opportunity for improvement, an opportunity to reduce research waste.
However, in other situations it appears that the failure to replicate may have been due to the influence of some latent nuisance variable, present in one lab but not another, which had a biological effect on the phenomenon being tested. Understanding better the nature of these variables, and how their influence is made manifest, provides opportunities for deeper biological understanding.
Malcolm Macleod will discuss issues of research waste; of replication; and of how these issues might be harnessed to improve research.
Biography
Malcolm Macleod is a clinician scientist and neurologist who is concerned with how we might increase the value of biomedical research, both through improving the quality of primary research and through better exploitation of what is already known.
Registration
This webinar is free to attend.
Registration is now closed.
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 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.
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.