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- How can we allow for patient and clinician preferences for treatment in clinical trials?
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- Home
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-
Student life & resources
Postgraduate research
- Info for new students
- Current research students
- Postgraduate conference
- Postgraduate events
- Postgraduate student awards
- Michael Tallis PhD Research Travel Award
- Information about research theses
- Past research students
- Resources
- Entry requirements
- PhD projects
- Obtaining funding
- Application & fee information
Student services
- Help for postgraduate students
- Thesis guidelines
- School assessment policies
- Computing information
- Mathematics Drop-in Centre
- Consultation
- Statistics Consultation Service
- Academic advice
- Enrolment variation
- Changing tutorials
- Illness or misadventure
- Application form for existing casual tutors
- ARC grants Head of School sign off
- Computing facilities
- Choosing your major
- Engage with us
- News & events
- Contact
Abstract:
We will discuss the design of clinical trials that take patient or clinician preferences into account. We will focus mainly on the two-stage randomised trial, in which some participants are randomised in the usual way, but others can choose their own treatment. This approach permits an assessment of the extent to which patient outcomes are affected by the choice of treatment that patients would make (if that were allowed), and by whether patients actually receive their preferred treatment. These two effects can sometimes be important, even when the usual treatment effect size is small. Preference-based designs provide deeper insight into the determinants of good outcomes, and recognise the individuality of patients.
Speaker
Prof Stephen Walter
Research Area
Statistics Seminar
Affiliation
McMaster University (Canada)
Date
Thu, 25/10/2012 - 11:00am to 12:00pm
Venue
OMB - 149, Old Main Building, UNSW Kensingtion Campus