Adaptive Methods in Clinical Research
Date:
12/03/2018 - 15/03/2018
Organised by:
Lancaster University
Presenter:
Professor Thomas Jaki
Level:
Intermediate (some prior knowledge)
Contact:
Angela Mercer, Tel: 01525 593064, psc@lancaster.ac.uk
Map:
View in Google Maps (LA1 4YF)
Venue:
Department of Mathematics and Statistics
C/o Postgraduate Statistics Centre
Lancaster University
Lancaster
Description:
Clinical trials in therapeutic areas such as cardiovascular disease, cancer and stroke are major undertakings. Many turn out to be negative and do not lead to the registration of a new drug or the introduction of a new treatment. Consequently, there is growing interest amongst clinical researchers in the use of efficient methods for conducting early phase trials to identify the most promising compounds for further study, and in using interim analyses to allow trials to be stopped as soon as there is sufficient evidence to reach a convincing conclusion. Adaptive designs also allow mid-trial modifications to be made to the design so that the accumulating data guides investigators to the most appropriate form of evaluation. Bayesian methods facilitate the inclusion of prior information drawn from expert opinion and from historical data in the planning and interpretation of clinical trials, which can lead to more efficient drug development.
Evaluation of adaptive designs and Bayesian methods using SAS will be demonstrated and used in practicals. Discussion groups will focus on dilemmas involved in implementation.
Cost:
External from industry/commerce £810; External from academic institution/public sector/charity staff £690; External postgraduate student £450.
Website and registration:
www.lancaster.ac.uk/maths/postgraduate/short-courses/
Region:
North West
Keywords:
Quantitative Data Handling and Data Analysis
Related publications and presentations:
Quantitative Data Handling and Data Analysis