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.
Queen Elizabeth II Centre, Broad Sanctuary, Westminster, London SW1P 3EE
The theme for the PSI Conference 2019 was“Data Driven Decision Making in Medical Research”. The 2019 PSI Conference took place at the Queen Elizabeth II Centre (QEII), London, from 2nd to 5th June 2019.
The conference consisted of a variety of plenary and parallel sessions, as well as breakout discussion sessions, workshops, a poster session and the Annual General Meeting. The conference ran over three full days from Monday to Wednesday, with an optional half day training course on the Sunday afternoon.
Sessions included early phase innovative trial design, industry best practice - 10 years on, statistical issues in safety drug labelling, model based dose finding designs, an update from Transcelerate and much more, with speakers from industry, academia and regulatory agencies.
We welcomed abstracts on any subject but were interested in the following topics; decision making, bayesian topics within early or late phase, causal inference, future trends, pre-clinical statistics, patient reported outcomes, and patient-centric data. To view the full list of topics, click here.
Kate Taylor
PSI Conference Chair
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.
In this talk, you will learn how to quickly explore your data in the web browser and how to create, collaborate and share interactive visualisations with others.
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.
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.
To understand how the estimand framework changed the development of 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.
The Apprentice Biostatistician splits their time between working for Parexel and performing studies with a university to obtain a MSc in Statistics over a period of three years.
We are actively looking to expand our team in Wokingham with a permanent position for a Biostatistician / Statistical Programmer.
We are looking for a Principal Statistician to be part of exciting work combing clinical trial data and biomarker data to support the future development of molecules within the therapeutic areas of obesity and NASH.
Biostatistics GLP-1 & CV 1 is seeking statisticians at Specialist and Principal level to be part of the biostatistics team responsible for Novo Nordisk’s large cardiovascular outcomes trials.
The position will be made to match the seniority of the candidate and for the right candidate we offer the opportunity to work mostly homebased from European locations.