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Label-based flow cytometry allows the quantification of target features of interest by attaching fluorophores (labels) to antibodies and measuring the resulting fluorescence at the relevant wavelengths. This is widely used for cell sorting, i.e., determining cell types. Image flow cytometry is a technology which enables single cell images in cell sorting experiments. Problematically, directly using this data for classification involves manual inspection of many thousands of images.... Details
When: March 31, 2020
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Designs of clinical trials with time to event primary endpoints usually rely on hazards being constant over time. A major challenge in immuno-oncology is the delayed onset of benefit with such therapies and the presence of non-proportional hazards. The impact of this needs to be accounted for in sample size calculations, analysis methodology and reporting. At this meeting, we will examine possible strategies to handle such features, which may not be fully known when the trial is... Details
When: April 1, 2020
Where: Cambridge
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Have you ever wondered what it takes to be successful as a statistician or data scientist in the healthcare/pharma industry and what can give you the extra edge to develop your career?  Come and listen to these industry leaders views on how to be successful and the advantages of being part of the PSI community.

When: April 23, 2020
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Given the current situation, pretty much everyone is working remotely from home. Some people are used to working remotely either on a regular or full-time basis this, whilst for many this is a new experience. Remote working, whether chosen or forced, has pros and cons for the company, manager and the statistician.  Based on over 15 years’ experience working from home as a contractor and more recently as a manager of homebased statisticians and programmers, this Webinar will give some ... Details
When: April 28, 2020
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PSI are pleased to offer a series of online webinars which will feature some of the content that was due to be presented at this year's conference. The webinars will run over a four-day period, week commencing 8th June, the same week in which the conference was due to take place. Once registered, individual links to each webinar will be distributed the working day prior to the session.

When: June 8–11, 2020
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The 2020 PSI Annual General Meeting will soon be upon us and this year, we're going virtual! In a World that's now reliant on digital adaptation, we've done just that and are therefore delighted to inform that this year's AGM will be held virtually on Tuesday 9th June from 13:00 - 14:00 BST.  Join us between Conference webinars to also hear about the key achievements from 2019, the impacts and adaptations stemming from COVID-19, and what there is to look forward to with PSI, through... Details
When: June 9, 2020
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Since 15 years the scientific literature repeatedly underline the important lack of reproducibility and replicability of studies in biomedical research. As a consequence, several scientific organizations (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... Details
When: July 15, 2020
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This course is aimed at Statisticians and Programmers experienced in SAS, but little or no experience with R. An Introduction to R studio and the R language, statistical graphics, programming statistical models, simulations and more…

When: October 20–21, 2020
Where: London
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The Toxicology SIG provides a forum for statisticians working in regulatory/investigative toxicology, as well as most other pre-clinical areas, to discuss issues and interact with one another. This 1.5-day workshop will involve approximately 20 statisticians, focusing on discussions around “best practice” in the statistical analysis of various data types.  The afternoon of Day 1 will include a 4.5 hour Bayesian training course focused towards applications in toxicology/pre-clinical,... Details
When: November 24–25, 2020
Where: London..