Advanced Statistical Designs to Empower Biomarker-driven Clinical Trials
Promoting the use of efficient statistical methods in practice.
The paradigm of drug development in oncology has been revolutionised due to advances in genomic technology. Patients can now be stratified into small subgroups that may receive different benefits from a new treatment, using biomarker information (e.g., measurements of characteristic biological properties or genetic aberration). This has brought a paradigm shift from the one-size-fits-all approach towards precision medicine.
Many innovative statistical designs and analysis strategies, with some going beyond oncology areas, have been developed over the past two decades. Yet there is limited uptake of such methods in practical implementation. This research dissemination event will include (1) a full-day short course to introduce some key concepts and innovative statistical methodology, and (2) a two-day workshop that consists of talks by prominent scholars in the field.
29 April: Pre-workshop course
Innovative Clinical Trial Designs for Precision Medicine
by Professor James Wason, Professor Christina Yap, Dr Haiyan Zheng
Description:
Modern clinical trials often use biomarkers that may be indicative of the treatment effect. One approach would stratify patients into subgroups to evaluate the subgroup-specific treatment effects simultaneously. This course will introduce key concepts and pioneering research in precision medicine clinical trials, encompassing efficient statistical designs, analysis strategies, practical considerations for basket, umbrella, platform trials.
30 April & 01 May: Workshop
Confirmed speakers include statistical methodologists, clinicians, practitioners, and regulatory professionals.
Primary audience can be
applied statisticians involved in running clinical trials,
clinicians interested in using innovative study designs,
students who intend to pursue a career in the healthcare sector.
Registered PhD students (×2) selected to give a talk would be awarded a bursary. Please click here for How to Apply by 7th April.
Registration & Fees
Short course - 29 April
Private sector: £400; Public sector: £275; Student: £150.
Workshop - 30 April & 01 May
£75 per delegate.
Registration includes lunch, refreshments, tea/coffee each day.
Scientific programme
Abstract book & Slide decks available at https://github.com/haiyanzheng/BathWorkshop
Photowall
More photos will be made available in due course [Placeholder].
Venue information
Bath Royal Literary and Scientific Institute (BRLSI)
16-18 Queen Square, Bath, BA1 2HN
Getting to BRLSI
By rail/bus: Bath Spa railway station is 10-15 minutes walk away, and Bath's new bus station is next door to it. Taxis are available from the railway station at most times.
By road: BRLSI is on the A4 as it goes through the centre of Bath. We are five minutes from the Charlotte Street long-stay car park (10 mins if you park at the far end!) - drive past BRLSI, turn left at the top of the square, then first right (it's the empty space below 'Royal Ave' on the map, right). There is also limited on-street parking in Queen Square.
Airport nearby: London Heathrow, London Gatwick, Bristol