Event

  • 20 Feb 2024

    STEM Ambassadors

    The STEM Ambassadors events highlight ways in which organisations and/or individual volunteers can get involved with Schools outreach, via a series of webinars hosted by STEM learning.
  • 13 Nov 2024

    Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars

    Date: The Second Wednesday of every Month 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.
  • 10 Dec 2024

    PSI Career Young Virtual Event (Q4 2024)

    Date: Tuesday 10th December 2024 This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
  • 12 Dec 2024

    PSI Journal Club: Group Sequential Designs

    Date: Thursday 12th December 2024 Chaired by Jenny Devenport, join us to hear Andy Grieve and Zhiwei Zhang discuss their recent work on group sequential designs.
  • 14 Jan 2025

    PSI Introduction to Industry Training (ITIT) Course - 2024/2025

    Date: October 2024 - July 2025 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.
  • 04 Feb 2025

    PSI Training Course: Mixed Models and Repeated Measures

    Dates: Monday 3rd February 2025: 08:30-13:00 BST Tuesday 4th February 2025: 08:30 - 13:00 BST Wednesday 5th February 2025: 08:30 - 13:00 BST Thursday 6th February 2025: 08:30 - 13:00 BST This course is presented through lectures and practical sessions using SAS code. It is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models.
  • 17 Jun 2025

    LSHTM: Statistical Analysis with Missing Data Using Multiple Imputation

    A short course taught online by statisticians from London School of Hygiene and Tropical Medicine. If you're an epidemiologist, biostatistician or other health researcher looking to learn more about statistical analysis with missing data using multiple imputation, join our short course to master this essential method.

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