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.
PSI, the European Federation of Statisticians in the Pharmaceutical Industry (EFSPI) and the Biopharmaceutical Section of the American Statistical Association (ASA) are jointly organising a webinar on Estimands in Practice. Speakers from regulatory authorities (FDA and EMA) and industry will present on their experience on this topic to date.
Discover your potential by working as a Covance Senior Principal / Principal Biostatistician. You'll enjoy a varied role working for different sponsors across several therapeutic areas, leading projects and mentoring junior members of the department.
Biometrics at AstraZeneca provides the data that influences decisions on how we roll back the frontiers of science to bring life-changing medicines to the world. We are at the heart of design, analytics and interpretation of AstraZeneca’s portfolio.