Tuan-Hao Hoang

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We consider the cancer post-treatment surveillance to be represented by a discrete observation process with a non-zero false-negative rate. Using a simple stochastic model of cancer recurrence derived within the random minima framework, we obtain parametric estimates of both the time-to-recurrence distribution and the probability of false-negative(More)
In this thesis, the contribution of the author is declared as:-Joint design with Daryl Essam and Bob McKay of the data preparation-Design and implementation of the systems to run experiments, based on existing generic code for GGGP and TAG3P.-Setting up and running all experiments-Design and implementation of the systems to extract the results of the(More)
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