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November 2019

BSU Seminar Series: “Machine Learning for Predictive Prognostic Trajectories in Dementia”

November 21, 2019 @ 2:00 pm - 3:00 pm
Large Seminar Room, IPH, Institute of Public Health, Forvie Site
Cambridge, CB2 0SR United Kingdom
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Speaker: Zoe Kourtzi, University of Cambridge Title:  Machine Learning for Predictive Prognostic Trajectories in Dementia Abstract: Alzheimer’s disease (AD) is characterised by a dynamic process of neurocognitive changes from normal cognition to mild cognitive impairment (MCI) and progression to dementia. However, not all individuals with MCI develop dementia. Predicting whether individuals with MCI will decline (i.e. progressive MCI) or remain stable (i.e. stable MCI) is impeded by patient heterogeneity due to comorbidities that may lead to MCI diagnosis without progression…

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December 2019

BSU Seminar Series: “Optimal allocation of resources to learn about infectious diseases”

December 12, 2019 @ 2:00 pm - 3:00 pm
Large Seminar Room, IPH, Institute of Public Health, Forvie Site
Cambridge, CB2 0SR United Kingdom
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Speaker: David Price, University of Melbourne and Royal Melbourne Hospital, Australia Title:"Optimal allocation of resources to learn about infectious diseases" Abstract: Design of experiments is not a new concept. However, much of the classical experimental design work was developed for the purpose of hypothesis testing – i.e., how many resources (e.g., individuals, mice, blood samples, etc.), are required to ensure sufficient statistical power to test a formal hypothesis. In contrast, many basic science experiments (e.g., microbiology, immunology or chemistry) and…

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January 2020

BSU Seminar Series: “Statistical Methods for Precision Medicine”

January 24 @ 11:00 am - 12:00 pm
Large Seminar Room, IPH, Institute of Public Health, Forvie Site
Cambridge, CB2 0SR United Kingdom
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Title:"Statistical Methods for Precision Medicine" Speaker: Professor Xiao-Hua Zhou, Peking University Abstract: In this talk, I will introduce a new semi-parametric modelling method for heterogeneous treatment effect estimation and individualized treatment selection using a covariate-specific treatment effect (CSTE) curve with high-dimensional covariates. The proposed method is quite flexible to depict both local and global associations between the treatment and baseline covariates, and thus is robust against model misspecification in the presence of high-dimensional covariates. We also establish the theoretical properties…

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February 2020

BSU Seminar: “Statistical approaches to viral sequence data; their evolutionary and clinical applications”

February 4 @ 1:30 pm - 2:30 pm
Large Seminar Room, IPH, Institute of Public Health, Forvie Site
Cambridge, CB2 0SR United Kingdom
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Free

Speaker: Dr Christopher Illingworth, University of Cambridge Title: "Statistical approaches to viral sequence data; their evolutionary and clinical applications"  

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