COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Start-up designs for response-adpative randomization procedures
Start-up designs for response-adpative randomization proceduresAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact webseminars. Design and Analysis of Experiments Response-adaptive randomization procedures are appropriate for clinical trials in which two or more treatments are to be compared, patients arrive sequentially and the response of each patient is recorded before the next patient arrives. For those procedures which involve sequential estimation of model parameters, start-up designs are commonly used in order to provide initial estimates of the parameters. In this talk a suite of such start-up designs for two treatments and binary patient responses are considered and compared in terms of the numbers of patients required in order to give meaningful parameters estimates, the number of patients allocated to the better treatment and the bias in the parameter estimates. It is shown that permuted block designs with blocks of size 4 are to be preferred over a wide range of parameter values. Results from a simulation study involving complete trials will also be reported. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsAfrica Research Forum Plant Sciences 'ABC' Seminars Kuwait Foundation Lectures Introduction to Molecular Biology Techniques Behavioural and Clincial Neuroscience Seminars Physics of Living Matter Part III course (PLM)Other talksAn investigation into hepatocyte expression and prognostic significance of senescence marker p21 in canine chronic hepatitis Activism and scholarship: Fahamu's role in shaping knowledge production in Africa Foster Talk - CANCELLED - Redox Oscillations in the Circadian Clockwork Statistical Learning Theory Single Molecule Spectroscopy |