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.
Chair: Mary Elliott
The PSI Training Committee organises five or six training courses each year. Generally our courses are designed to bring statisticians and statistical programmers working in the pharmaceutical industry up-to-date in a particular subject area. Courses are of one or two days' duration, and our presenters are often from academia with particular expertise in the course topic. We focus on application, but also provide sufficient theory to clarify the concepts behind the techniques. Delegate numbers are limited to 30 or less so that there is plenty of opportunity for questions and discussion.
In addition we work with other professional groups and run an annual training course for statisticians new to the industry.
For further details or to register for future training courses please click here
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.
Are you interested in prevention, diagnosis and treatment of infectious diseases and the application of modern and innovative statistical methods?