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.
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.
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.
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.
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.
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 Mentoring 2025
Date: Ongoing 6 month cycle beginning late April/early May 2024
Are you a member of PSI looking to further your career or help develop others - why not sign up to the PSI Mentoring scheme? You can expand your network, improve your leadership skills and learn from more senior colleagues in the industry.
PSI Training Course: Mixed Models and Repeated Measures
This course is presented through lectures and practical sessions using SAS code. It is suitable for statisticians working on clinical trials, who already have a good understanding of linear and generalised linear models.
Joint PSI/EFSPI Visualisation SIG 'Wonderful Wednesday' Webinars
Our monthly webinar explores examples of innovative data visualisations relevant to our day to day work. Each month a new dataset is provided from a clinical trial or other relevant example, and participants are invited to submit a graphic that communicates interesting and relevant characteristics of the data.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This is an interactive online training workshop providing an in-depth review of the estimand framework as laid out by ICH E9(R1) addendum with inputs from estimand experts, case studies, quizzes and opportunity for discussions. You will develop an estimand in a therapeutic area of interest to your company. In an online break-out room, you will join a series of team discussions to implement the estimand framework in a case study, aligning estimands, design, conduct, analysis, (assumptions + sensitivity analyses) to the clinical objective and therapeutic setting.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.
This networking event is aimed at statisticians that are new to the pharmaceutical industry who wish to meet colleagues from different companies and backgrounds.