The aim of this course is to provide participants an understanding simulation techniques. The 2 day course includes a variety of practical examples and example code will be provided in both SAS and R. Presented by
The aim of this course is to provide participants an understanding simulation techniques. The 2 day course includes a variety of practical examples and example code will be provided in both SAS and R.
The following topics will be covered:
• Pseudo-random number generators in SAS and R. Generating samples of univariate data: The “sample” function in R. Generating samples from distributions with specified skewness and kurtosis.
• The CDF method for generating pseudo-random data samples. Univariate nonparametric simulation using empirical CDFs. The Metropolis Hastings algorithm • Generating samples of correlated bivariate data. Restrictions on possible correlations and its implication for the NORTA method. Bivariate binary data. Correlated bivariate nonparametric simulation using convex hulls.
• Generating multivariate normal data. Multivariate non-normal data using the NORTA method. Multivariate correlated binary and ordinal data. Multivariate nonparametric simulation using density surrogates.
Dr Les Huson has more than 30 years’ experience working as a consultant biostatistician in the pharma and biotech industries, and also holds an appointment as Honorary Lecturer in Medical Statistics in the Centre for Pharmacology and Therapeutics Imperial College London. His special interests are in application of simulation techniques, and the use Bayesian methodologies, in the design and analysis of clinical trials.
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.