PSI Training Course: Mixed Models and Repeated Measures

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.

Urgent Meeting: Medical Statistician Apprenticeship Scheme

The UK government have recently announced that level 7 apprenticeships must be fully funded by the employer from January 2026, for any apprentice over the age of 21. With funding for MSc's at an all time low, and universities courses facing closures, the apprenticeship scheme remains as important as ever, as a tool to encourage new statisticians into our industry. In this dedicated meeting, Valerie Millar (chair of the apprenticeship scheme) will provide full updates on the government changes and seek feedback and ideas from employers, universities and apprentices on how to keep this scheme successfully running for many years to come.

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.

PSI Vaccines SIG Webinar: Challenges in Estimating Vaccine Effectiveness Against Progression to Severe Disease

This is a free webinar on Challenges in Estimating Vaccine Effectiveness Against Progression to Severe Disease.

PSI Book Club - The Art of Explanation: How to Communicate with Clarity and Confidence

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.

PSI Training Course: Pediatric Extrapolation

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.

PSI Career Young Virtual Event (Q3 2025)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

EFSPI/PSI Causal Inference SIG Webinar: Instrumental Variable Methods

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.

PSI Career Young Virtual Event (Q4 2025)

This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.

Speaker	Biography
James Carpenter	James Carpenter is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine, with a 50% secondment to the MRC Clinical Trials Unit at UCL, where he is an MRC Investigator in Trials Methodology. He has long-standing interests in missing data methodology (particularly multiple imputation) and longitudinal modelling; last year he co-authored the second edition of Multiple imputation and its Application (Wiley). More recently, he became the senior statistician in the ACORD collaboration, focussed on developing, running and reporting multi-arm multi-stage trials in neurodegenerative diseases.
Linda Sharples	After finishing a PhD in Bayesian Methods for Hierarchical Data and a short post-doctoral lectureship in Medical Statistics, Linda joined the MRC Biostatistics Unit in Cambridge. At Cambridge she led a programme of research in the evaluation of new health technologies using both experimental and observational designs. The work was applied to interventions to treat heart and lung diseases, particularly transplantation and other surgery. Methodological contributions have focussed on longitudinal data and the synthesis of trial and observational data in decision models. She was appointed Professor of Statistics in the Clinical Trials Research Unit at Leeds University in 2013, but could not resist relocating to the LSHTM when the opportunity arose in 2017. Her current interests focus on developing clinical prediction models for early diagnosis of cancers with non-specific symptoms and use of electronic health records for evaluation of service provision for (among others) prostate cancer.

Speaker	Biography
James Carpenter	James Carpenter is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine, with a 50% secondment to the MRC Clinical Trials Unit at UCL, where he is an MRC Investigator in Trials Methodology. He has long-standing interests in missing data methodology (particularly multiple imputation) and longitudinal modelling; last year he co-authored the second edition of Multiple imputation and its Application (Wiley). More recently, he became the senior statistician in the ACORD collaboration, focussed on developing, running and reporting multi-arm multi-stage trials in neurodegenerative diseases.
Linda Sharples	After finishing a PhD in Bayesian Methods for Hierarchical Data and a short post-doctoral lectureship in Medical Statistics, Linda joined the MRC Biostatistics Unit in Cambridge. At Cambridge she led a programme of research in the evaluation of new health technologies using both experimental and observational designs. The work was applied to interventions to treat heart and lung diseases, particularly transplantation and other surgery. Methodological contributions have focussed on longitudinal data and the synthesis of trial and observational data in decision models. She was appointed Professor of Statistics in the Clinical Trials Research Unit at Leeds University in 2013, but could not resist relocating to the LSHTM when the opportunity arose in 2017. Her current interests focus on developing clinical prediction models for early diagnosis of cancers with non-specific symptoms and use of electronic health records for evaluation of service provision for (among others) prostate cancer.

Speaker	Biography
James Carpenter	James Carpenter is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine, with a 50% secondment to the MRC Clinical Trials Unit at UCL, where he is an MRC Investigator in Trials Methodology. He has long-standing interests in missing data methodology (particularly multiple imputation) and longitudinal modelling; last year he co-authored the second edition of Multiple imputation and its Application (Wiley). More recently, he became the senior statistician in the ACORD collaboration, focussed on developing, running and reporting multi-arm multi-stage trials in neurodegenerative diseases.
Linda Sharples	After finishing a PhD in Bayesian Methods for Hierarchical Data and a short post-doctoral lectureship in Medical Statistics, Linda joined the MRC Biostatistics Unit in Cambridge. At Cambridge she led a programme of research in the evaluation of new health technologies using both experimental and observational designs. The work was applied to interventions to treat heart and lung diseases, particularly transplantation and other surgery. Methodological contributions have focussed on longitudinal data and the synthesis of trial and observational data in decision models. She was appointed Professor of Statistics in the Clinical Trials Research Unit at Leeds University in 2013, but could not resist relocating to the LSHTM when the opportunity arose in 2017. Her current interests focus on developing clinical prediction models for early diagnosis of cancers with non-specific symptoms and use of electronic health records for evaluation of service provision for (among others) prostate cancer.

Speaker	Biography
James Carpenter	James Carpenter is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine, with a 50% secondment to the MRC Clinical Trials Unit at UCL, where he is an MRC Investigator in Trials Methodology. He has long-standing interests in missing data methodology (particularly multiple imputation) and longitudinal modelling; last year he co-authored the second edition of Multiple imputation and its Application (Wiley). More recently, he became the senior statistician in the ACORD collaboration, focussed on developing, running and reporting multi-arm multi-stage trials in neurodegenerative diseases.
Linda Sharples	After finishing a PhD in Bayesian Methods for Hierarchical Data and a short post-doctoral lectureship in Medical Statistics, Linda joined the MRC Biostatistics Unit in Cambridge. At Cambridge she led a programme of research in the evaluation of new health technologies using both experimental and observational designs. The work was applied to interventions to treat heart and lung diseases, particularly transplantation and other surgery. Methodological contributions have focussed on longitudinal data and the synthesis of trial and observational data in decision models. She was appointed Professor of Statistics in the Clinical Trials Research Unit at Leeds University in 2013, but could not resist relocating to the LSHTM when the opportunity arose in 2017. Her current interests focus on developing clinical prediction models for early diagnosis of cancers with non-specific symptoms and use of electronic health records for evaluation of service provision for (among others) prostate cancer.

Speaker	Biography
James Carpenter	James Carpenter is Professor of Medical Statistics at the London School of Hygiene & Tropical Medicine, with a 50% secondment to the MRC Clinical Trials Unit at UCL, where he is an MRC Investigator in Trials Methodology. He has long-standing interests in missing data methodology (particularly multiple imputation) and longitudinal modelling; last year he co-authored the second edition of Multiple imputation and its Application (Wiley). More recently, he became the senior statistician in the ACORD collaboration, focussed on developing, running and reporting multi-arm multi-stage trials in neurodegenerative diseases.
Linda Sharples	After finishing a PhD in Bayesian Methods for Hierarchical Data and a short post-doctoral lectureship in Medical Statistics, Linda joined the MRC Biostatistics Unit in Cambridge. At Cambridge she led a programme of research in the evaluation of new health technologies using both experimental and observational designs. The work was applied to interventions to treat heart and lung diseases, particularly transplantation and other surgery. Methodological contributions have focussed on longitudinal data and the synthesis of trial and observational data in decision models. She was appointed Professor of Statistics in the Clinical Trials Research Unit at Leeds University in 2013, but could not resist relocating to the LSHTM when the opportunity arose in 2017. Her current interests focus on developing clinical prediction models for early diagnosis of cancers with non-specific symptoms and use of electronic health records for evaluation of service provision for (among others) prostate cancer.

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