PSI VIS SIG Webinar: Collaborative & Exploratory Data Analysis

PSI VisSIG Wonderful Wednesday Webinar Series

This is a good opportunity to develop your knowledge by thinking through a practical example, practicing how to apply graphics principles, and developing your coding skills.

PSI Pre-Clinical SIG Webinar: Assay Qualification by Linear Mixed Model: Confidence, Prediction & Tolerance Intervals

Dr Francq will discuss the need for analytical methods to deliver unbiased and precise results and talk in detail on confidence, prediction and tolerance intervals work in linear mixed models and the interpretation of statistical results. This will be followed by Q&A.

PSI Training Course: An Interactive Introduction to Agile Ways of Working

During this session you will explore how we best execute change within our roles, build your practical understanding of agile tools and techniques, and inspire you to experiment with the new ways of working to deliver your goals.

PSI EIWG Webinar: Impact of estimands

To understand how the estimand framework changed the development of clinical trials.

PSI Training Course: Hybrid Frequentist / Bayesian Power and Bayesian Power in Planning Clinical Trials

Aimed at Statisticians working on the design of Clinical Trials, participants will learn how to use Expected Power, Average Power, Predicted Power, Probability of Success and Assurance, and Bayesian Power when planning clinical trials.

Speaker	Biography
Mike Freeman Observable	Mike Freeman, Data Visualisation Developer, Observable. Mike Freeman is a Data Visualisation Developer at Observable where he works to make data visualisation more accessible, equitable and impactful. He was previously a professor at the University of Washington Information School, where he taught courses in data science, interactive data visualisation and web development. He is also the co-author of Programming Skills for Data Science.

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