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 > Bayesian Adaptive Designs for Identifying Maximum Tolerated Combinations of Two Agents
Bayesian Adaptive Designs for Identifying Maximum Tolerated Combinations of Two AgentsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mustapha Amrani. This talk has been canceled/deleted Phase I trials of combination cancer therapies have been published for a variety of cancer types. Unfortunately, a majority of these trials suffer from poor study designs that either escalate doses of only one of the agents and/or use an algorithmic approach to determine which combinations of the two agents maintain a desired rate of dose-limiting toxicities (DLTs), which we refer to as maximum tolerated combinations (MTCs). We present a survey of recent approaches we have developed for the design of Phase I trials seeking to determine the MTC . For each approach, we present a model for the probability of DLT as a function of the doses of both agents. We use Bayesian methods to adaptively estimate the parameters of the model as each patient completes their follow-up in the trial, from which we determine the doses to assign to the next patient enrolled in the trial. We describe methods for generating prior distributions for the parameters in our model from a basic set of i nformation elicited from clinical investigators. We compare and contrast the performance of each approach in a series of simulations of a hypothetical trial that examines combinations of four doses of two agents and compare the results to those of an algorithmic design known as an A+B+C design. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:This talk is not included in any other list Note that ex-directory lists are not shown. |
Other listsSeminars on Chinese Linguistics and L2 Chinese CLIO - CU history Society Collective Phenomena group meetingOther talksSneks long balus Bioinformatics Systems for Big Data Applications: Revolutionising personal computing Genes against beans: favism, malaria and nationalism in the Middle East Babraham Lecture - Understanding how the p53 onco-suppressor gene works: hints from the P2X7 ATP receptor Prof Chris Rapley (UCL): Polar Climates Horizontal transfer of antimicrobial resistance drives multi-species population level epidemics The role of myosin VI in connexin 43 gap junction accretion Cyclic Peptides: Building Blocks for Supramolecular Designs Amino acid sensing: the elF2a signalling in the control of biological functions Towards bulk extension of near-horizon geometries Transcriptional control of pluripotent stem cell fate by the Nucleosome Remodelling and Deacetylation (NuRD) complex |