Adaptive Methods in Clinical Research
Date: 13th - 16th Mar 2017
Duration: 3.0 days (From Monday Midday to Thursday Midday)
Delivered by: Dr Thomas Jaki
Registration deadline has passed.
Please contact firstname.lastname@example.org for more information about this course.
The course fees include all supporting documentation and refreshments.
- External from industry/commerce - £810
- External from academic institution/public sector/charity - £690
- External postgraduate student - £450
- Members of Lancaster University - £0
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.
- Single-stage and two-stage designs
- Group sequential designs and their evaluation
- Sample size reviews
- Adaptive designs
- Response adaptive designs
- A review of the Bayesian approach
- Bayesian methods for phase II and phase III clinical trials
- Bayesian versus frequentist approaches
Students will be able to:
Registrations are transferable to another course or individual at any time. Full refunds will be given for cancellation 10 or more working days before the course start date. Otherwise the full course fee will be charged.