This course provides an introduction to simulation techniques as applied to problems in the design and analysis of clinical trials.
This course has been postponed until early 2016. Please look out for further information
Presented by Dr Les Huson
This course provides an introduction to simulation techniques as applied to problems in the design and analysis of clinical trials. The course will cover basic methods of random number generation, generation of samples of univariate and correlated multivariate data, the CDF technique, an introduction to the Metropolis Hastings algorithm, and non-parametric simulation. A variety of examples and practical exercises will be presented, coded using SAS and R.
Les Huson has more than 30 years' experience of design and analysis of clinical trials, working with many pharmaceutical and biotechnology companies. He holds an appointment as Honorary Lecturer in Medical Statistics in the Centre for Pharmacology and Therapeutics at Imperial College London, and teaches courses on biostatistics and clinical trials at Imperial College London, University College London, and the University of Cambridge.
Upcoming Events
PSI ToxSIG Webinar: Beyond the looking glass - Interpreting animal welfare & behaviour by monitoring & assessing mice activity data
Analysing continuously collected locomotive activity data to interpret mice welfare and behaviour.
Our next journal club features two papers on the topic of Survival Analysis. For each of these published papers there will be a 20 minute presentation by author followed by a 10 minute discussion.
The field of data visualization is the intersection of data journalism, statistics, graphic design, computer science, neuroscience, and cognitive psychology. We will focus on the latter two fields of data visualization as it relates to data visualization: neuroscience and cognitive psychology.
As a statistician in the Biostatistics and Programming Department, you will be responsible for the methodological and statistical aspects of projects in early clinical development in order to optimize the early development plan and ensure its coherence.
By joining our company, in this role you will apply your skills and experience in support of developing scientifically based arguments aiming to provide fair accessibility to our company’s drugs and vaccines making a real difference in patient’s lives.
As a Director of Statistics, you will be accountable for guiding statisticians in their work, performing senior review of documentation and output deliveries, providing oversight and advising on best practices approach to statistics for clinical trials.